
GITNUXSOFTWARE ADVICE
Entertainment EventsTop 10 Best Movie Database Software of 2026
Ranked top movie database software options by data accuracy and features, with FilmAffinity, IMDb, and Filmweb comparisons for film organizers.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
FilmAffinity is the best fit for cataloging teams that value identity-linked metadata and human review signals, whereas IMDb works better when your IDs drive enrichment and watch tracking across tools, and Ant Movie Catalog is the low-cost entry if you want a local file-based collection with import and export.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
FilmAffinity
High-visibility user ratings and reviews attached to the same title identity used for browsing and cataloging.
Built for fits when cataloging teams prioritize identity-linked metadata and human review signals over bulk automation..
IMDb
Editor pickIMDb’s IMDb ID matching provides stable identifiers for title and person linkage across external metadata workflows.
Built for fits when IMDb IDs anchor enrichment and personal watch tracking across multiple catalog tools..
Filmweb
Editor pickPolish-localized film and person pages with credit-centric browsing for cast and crew.
Built for fits when personal curation needs Polish-localized film credits and watchlist continuity..
Comparison Table
FilmAffinity
vertical specialistSpanish-language movie ratings and database site with user reviews and recommendations.
High-visibility user ratings and reviews attached to the same title identity used for browsing and cataloging.
FilmAffinity organizes film metadata around searchable entities, including film pages with cast and crew fields and person pages that connect careers across multiple titles. User-driven signals like ratings and reviews attach to those entities, and watchlist-style workflows map cleanly to title identity rather than external file formats. FilmAffinity also surfaces artwork like posters on title pages, which supports visual inventory checks during catalog maintenance.
The tradeoff is limited automation for bulk metadata editing compared with tools that integrate directly through APIs for programmatic ingestion. FilmAffinity fits situations where a team needs consistent human-readable records and reliable person-to-title linking for day-to-day cataloging. It is less suitable when the workflow requires batch ingest from external libraries or format-driven scraping across large collections.
- +Tightly linked film and person records with clear cast and crew
- +User ratings and reviews add useful context for catalog decisions
- +Poster and title pages support fast visual verification of entries
- +Entity-first browsing makes it easy to track consistency by identity
- –Limited evidence of deep API-first automation for bulk metadata workflows
- –Batch editing and large-scale imports are not the primary strength
- –Community-driven data can introduce inconsistent tag usage over time
- –Advanced library governance features for multi-user admin are not the focus
Film librarians and catalog curators
Maintain consistent title and credit records
Fewer duplicate and mismatched entries
Community managers
Curate lists from verified title pages
Cleaner list consistency across updates
Show 1 more scenario
Enthusiast collectors
Organize personal watching history
Faster browsing during planning
Use title identity to keep watchlists and collection notes aligned with readable metadata.
Best for: Fits when cataloging teams prioritize identity-linked metadata and human review signals over bulk automation.
IMDb
consumer/enterpriseThe world's most popular movie database with cast, crew, plot, ratings, and release information.
IMDb’s IMDb ID matching provides stable identifiers for title and person linkage across external metadata workflows.
IMDb is a reference source for titles, people, and credits, with consistent IMDb IDs that keep matches stable across systems. Cast and crew fields are detailed enough for many ingestion and enrichment workflows. Watchlist management supports personal viewing tracking, while the global catalog depth reduces manual rekeying for common film entries.
A key tradeoff is that IMDb focuses on audience-facing metadata, so multi-user library management and offline catalog behavior are limited without external software. The strongest usage situation is building a metadata backbone where IMDb IDs anchor deduplication and subsequent enrichment in a separate catalog tool.
- +IMDb ID matching reduces duplicate risk across ingestion tools
- +Cast and crew fields are detailed enough for credit-driven browsing
- +Watchlist management supports personal viewing history tracking
- +Release year normalization improves title consistency during matching
- –Multi-user library and loan tracking require external database tooling
- –Admin and governance controls like RBAC and audit log are not exposed for libraries
- –Automation is constrained when relying on web-facing interaction rather than deep APIs
- –Offline catalog workflows need third-party storage and sync logic
Home media organizer
Track watched titles with stable IDs
Fewer mismatches in libraries
Metadata engineer
Anchor enrichment jobs to IMDb IDs
Cleaner deduplication results
Show 2 more scenarios
Crew-focused archivist
Browse and curate credits by cast
Faster credit verification
Rely on cast and crew fields to build credit-driven lists and validate filmographies.
Small team curator
Coordinate personal lists across tools
Shared tracking via integrations
Combine watchlist management with external catalog apps that add multi-user workflows.
Best for: Fits when IMDb IDs anchor enrichment and personal watch tracking across multiple catalog tools.
Filmweb
vertical specialistPolish movie database with cast, ratings, reviews, and personal watchlist features.
Polish-localized film and person pages with credit-centric browsing for cast and crew.
Filmweb organizes movies, series, and people into browsable entities with actor credits, director credits, and genre taxonomy baked into page navigation. Film pages typically show release year and runtime context alongside rating aggregation and poster artwork, which supports quick cross-checking of titles and credits. Watchlist management and personal collections support recurring viewing decisions, but the platform does not position itself as an end-to-end media asset manager for local files.
A tradeoff appears when teams need automation and integration for a managed catalog. Filmweb is suited to curating what to watch and keeping a personal queue, while it is less suited to bulk metadata edits, release year normalization at scale, or generating local NFO or media agent compatible metadata. A strong fit is a viewer or small team that wants accurate credits and Polish localized discovery rather than a self-hosted inventory system.
- +Polish-first metadata improves title and credit relevance
- +Cast and crew fields are easy to cross-check
- +Watchlist tooling supports repeat viewing decisions
- +Poster artwork presentation is consistent across titles
- –Automation and bulk metadata workflows are limited
- –Export and local-library integration is not the focus
- –Community coverage gaps can appear for niche releases
- –Schema control for custom fields is not designed for power users
Movie-focused individuals
Maintain a watchlist with accurate credits
Fewer duplicates in the queue
Small film clubs
Plan screenings using credit and runtime context
Cleaner program documentation
Show 1 more scenario
Polish-language curators
Verify localized titles and credits
More consistent catalog references
Localized metadata pages help reconcile Polish release naming and personnel information.
Best for: Fits when personal curation needs Polish-localized film credits and watchlist continuity.
AllMovie
consumerMovie database offering expert reviews, ratings, cast, and crew information.
Editorial cast and crew credit depth presented as navigable filmography context rather than media-library fields.
AllMovie is a movie database site focused on editorial film details like cast and crew, genres, and production credits across a wide catalog. Its core value is browsing and recording structured film metadata that aligns with film-study and filmography use cases rather than pure media-library management.
AllMovie supports workflow integration mainly through data retrieval from its public catalog and through third-party approaches that can ingest title identifiers like IMDb IDs. Compared with database-first tools that center batch metadata editing and multi-device library syncing, AllMovie is strongest for reference-grade film information and weaker for automation-heavy catalog operations.
- +Editorially curated cast and crew credits with consistent filmography pages
- +Genre and credit fields support research-style cataloging and reference browsing
- +Title pages provide multiple disambiguation signals like role credits
- +Reference metadata is usable as input for external library enrichment workflows
- –Automation and API surface are limited for build-your-own catalog ingestion
- –Watchlist management and multi-user library governance are not the focus
- –Metadata scraping for bulk enrichment requires external tooling and mapping
- –Poster artwork and technical fields coverage is less oriented toward media servers
Best for: Fits when researchers need reliable film reference data to enrich external collections with minimal admin overhead.
EMDB
vertical specialistEMDB is a desktop movie catalog application for tracking films, editions, ratings, cast, crew, and collection details.
Web UI record curation that keeps posters and cast and crew fields aligned inside a single searchable library.
EMDB is a movie database and cataloging web service that centers on building a personal library with searchable metadata. It provides browsing and record management for films, including posters and cast and crew fields, so collections can be organized without building separate spreadsheets.
Its admin workflow focuses on maintaining links and metadata consistency across the catalog, with features that fit day-to-day curation rather than just viewing. Integration automation is limited compared with tools that rely on deep TMDB API ingestion and automated normalization pipelines.
- +Web-based catalog management for films with metadata-oriented record pages
- +Search and filter patterns that support building a practical personal inventory
- +Consistent handling of posters and cast and crew fields for display use
- +Collection maintenance workflows built for ongoing curation
- –Automation depth is lower than tools with TMDB API ingestion workflows
- –Metadata normalization and batch editing tooling feels limited versus scraper-heavy systems
- –Duplicate detection and merge controls are less extensive than in dedicated catalog apps
- –Advanced media-spec fields like aspect ratio and codec details are not a focus
Best for: Fits when a small personal catalog needs curated film records and browsing-oriented metadata, not full automation pipelines.
Emby
vertical specialistMedia server with movie library metadata scraping and multi-user support.
Watch state tracking stays tied to the library items across multiple user accounts and devices.
Emby is a media database and library manager focused on playback-centric organization for movies and series. It can ingest metadata through metadata scraper workflows and uses IMDb ID matching-style linking when identifiers are available in the library.
Emby also supports multi-user library access for shared households and uses watchlist and watched history tracking tied to the media items. Automation for recurring imports and metadata refreshes helps keep personal collections and artwork reasonably current across devices.
- +Multi-user library supports shared household watching and collections
- +Metadata refresh flows reduce manual edits after new media is added
- +Detailed movie item pages include cast and crew fields for browsing
- +Library import supports common file naming workflows for faster matching
- –Accurate metadata often depends on consistent filenames and identifiers
- –Metadata reconciliation for duplicates can require careful manual decisions
- –Custom tags and facets feel less granular than specialized catalog tools
- –Advanced automation needs configuration discipline across libraries
Best for: Fits when a shared home library needs reliable movie metadata and playback-linked history.
Ant Movie Catalog
vertical specialistFree desktop application for cataloging personal movie collections with XML import and export.
Batch metadata refresh that writes NFO and artwork assets for offline Kodi-style library workflows.
Ant Movie Catalog focuses on local movie cataloging with strong file-based workflows for metadata and media assets. Core capabilities include importing from external sources, generating NFO output, and running metadata refresh cycles that fill posters, cast and crew fields, and identifiers.
The catalog supports structured organization for personal collections and library-style browsing, including watchlist and collection statistics views. Compared with IMDb and Filmweb-oriented browsing, Ant Movie Catalog adds offline catalog management and batch-style metadata operations for many titles at once.
- +Good batch processing for updating large personal catalogs
- +NFO file generation supports portable, file-based media setups
- +Library views make it easier to manage custom collections
- +Identifier matching helps reduce duplicates during refresh cycles
- –Automation depth depends on external import formats and plugins
- –Metadata accuracy can degrade when identifiers are missing
- –UI workflows require more configuration discipline than web databases
- –Multi-user library management is limited compared with enterprise tools
Best for: Fits when a local media library needs file-based metadata output and bulk refresh operations.
Movienizer
vertical specialistMovienizer organizes movie collections with cast and crew data, cover images, custom fields, search, and filtering.
Multi-user library management with per-user collections and watchlist tracking in one catalog.
Movienizer is a movie database and library manager focused on fast cataloging with metadata retrieval and consistent film records. It supports multi-user library workflows for organizing personal and shared collections, with watchlists and personal inventory style tracking.
Movienizer also provides batch metadata updates and cleanup utilities to reduce duplicates and normalize release-year fields across large libraries. Media import and export are geared toward keeping collections usable with common media-center workflows and external players.
- +Batch metadata edits reduce manual cleanup across large libraries
- +Multi-user library workflows support shared curation without separate installs
- +Duplicate detection helps prevent repeated entries during bulk imports
- +Watchlist and personal collection inventory tracking cover common library habits
- –Metadata matching can produce mismatches that require manual review
- –Batch operations need careful configuration to avoid overwriting local fields
Best for: Fits when shared collections need batch metadata edits, watchlists, and duplicate control at scale.
Jellyfin
vertical specialistOpen-source media server with movie library metadata fetching and NFO file support.
NFO-style metadata import and export connects the server’s catalog to external tools and offline workflows.
Jellyfin runs a self-hosted media server that catalogs your local movie library and serves it through clients on streaming devices. Metadata updates can be automated via its metadata scraper workflow, and libraries are organized with configurable fields like cast and crew plus custom tags.
Movie playback history, watch states, and multi-user access are built into the server so the database stays tied to user activity. Jellyfin also outputs and consumes NFO-style metadata files, which supports tighter external workflows than apps that keep metadata only inside the server.
- +Self-hosted catalog keeps movie metadata with the same library that serves playback
- +Multi-user watched state supports personal progress and shared collections
- +NFO generation supports portable metadata workflows outside the server
- +Custom tags and faceted browsing improve day-to-day catalog navigation
- –Metadata matching quality depends on your library naming and agent configuration
- –Advanced governance requires careful manual setup and user role discipline
- –Some import paths lack mature automation for large, heterogeneous collections
- –Poster and artwork consistency can vary across sources when metadata differs
Best for: Fits when home labs need a local movie database tied to playback and user watch states.
MediaElch
vertical specialistMediaElch edits movie and television metadata, artwork, actors, sets, and NFO files for media-center libraries.
NFO file generation designed around local metadata exchange for media center scraping compatibility.
MediaElch is a desktop movie database application built for managing personal collections with local files and local metadata. It supports TMDB API integration for metadata pulls, poster artwork fetching, and batch edits for common fields.
The app organizes library entries around film records with cast and crew fields, release year handling, and duplicate detection workflows. Export workflows include generation of NFO files and metadata that can be consumed by common media center setups.
- +Batch metadata editing for large collections without repeated manual entry
- +TMDB API integration supports consistent poster and title metadata pulls
- +NFO file generation supports Kodi-style local metadata workflows
- +Duplicate detection and ISBN-style rechecks reduce accidental double entries
- –Limited multi-user library features and no native RBAC model
- –Metadata accuracy depends heavily on IMDb ID matching quality
- –Background scraping throughput drops when libraries contain many inconsistent filenames
- –Advanced export customization requires manual configuration discipline
Best for: Fits when local media libraries need repeatable metadata enrichment and NFO output, not shared team workflows.
Conclusion
After evaluating 10 entertainment events, FilmAffinity stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right movie database software
This buyer’s guide focuses on movie database software used to organize film metadata, link titles to people, and keep catalog records consistent across browsing and local library workflows. It covers FilmAffinity, IMDb, Kinopoisk, and eight additional tools from Filmweb, AllMovie, EMDB, Emby, Ant Movie Catalog, Movienizer, Jellyfin, and MediaElch.
The tool set emphasizes how identity anchors ingestion and deduplication, how automation and API or integration depth affects batch metadata edits, and how multi-user administration changes governance outcomes. FilmAffinity and IMDb represent two common approaches to title identity and external linkage through their IMDb-style identifiers and human review signals.
Movie database software for film metadata, identity matching, and library automation
Movie database software stores film records and metadata such as cast and crew fields, posters, and release year data so users can search, filter, and curate collections without rebuilding catalogs item by item. Many tools also connect ingestion steps like IMDb ID matching, TMDB API integration, and poster fetch to keep records aligned with external title identities. FilmAffinity ties film and person browsing to user ratings and reviews connected to the same title identity used for cataloging.
Some tools are optimized for batch pipelines that write NFO files or artwork assets for offline media-center scraping workflows. Ant Movie Catalog generates NFO and artwork assets for portable Kodi-style library setups, while MediaElch focuses on repeatable metadata enrichment and NFO output using TMDB API integration for poster and title pulls. For shared libraries, Emby and Movienizer add multi-user watched tracking and collection management, but their duplicate handling can require manual reconciliation when identifiers do not match cleanly.
Integration depth, identity linkage, and automation surfaces for film metadata
Movie database software lives or dies by how titles and people stay linked during ingestion, refresh, and deduplication. Tools that anchor identity with stable IDs and keep cast and crew records attached to the same title identity reduce manual cleanup when libraries scale.
Automation and export matter when collections grow faster than hand-editing can keep up. Batch metadata refresh, NFO file generation, and metadata reconciliation workflows determine whether the catalog stays current after new discs or files are added.
Identity-linked ingestion that keeps title-person relationships stable
FilmAffinity ties film and person records to user-facing browsing so ratings and reviews appear on the same title identity used for cataloging. IMDb uses IMDb ID matching to keep external enrichment tied to stable title and person linkage across ingestion tools.
Cast and crew field depth presented for credit-driven browsing
AllMovie emphasizes editorial cast and crew credits in navigable filmography context, which supports research-style cataloging. Filmweb emphasizes Polish-localized film and person pages that make cast and crew cross-checking faster for personal watchlists.
Batch metadata pipelines that write file-based outputs for offline libraries
Ant Movie Catalog performs batch metadata refresh that writes NFO and artwork assets for offline Kodi-style library workflows. MediaElch focuses on NFO file generation backed by TMDB API integration so poster and title pulls stay consistent for repeatable local metadata exchange.
Shared library coordination with watch-state tracking across users
Emby keeps watch state tied to library items across multiple user accounts and devices, which reduces drift between playback and metadata. Movienizer combines multi-user library management with per-user collections and watchlist tracking inside one catalog.
Local-server metadata exchange that stays tied to playback libraries
Jellyfin keeps a self-hosted catalog linked to the same library that serves playback, and it supports multi-user watched state tied to items. EMDB provides a web UI for record curation that keeps posters and cast and crew fields aligned in a single searchable personal library.
Choose by ingestion model: identity-first enrichment, batch file output, or curated web libraries
The key decision is where catalog truth is maintained after ingestion, refresh, and manual corrections. Some tools treat identity anchors as the foundation for deduplication and credit linkage, while others treat local records and file outputs as the integration contract.
The second decision is workflow scale. Batch pipelines and NFO output fit large personal collections and media-center scraping loops, while multi-user libraries and watch-state tracking fit shared household playback libraries.
Pick the identity anchor used to prevent duplicate title-person records
If stable IMDb-style identifiers are the ingestion spine, IMDb is a strong match because its IMDb ID matching reduces duplicate risk across external enrichment tools. If human review signals attached to the same browsing identity matter more than build-your-own pipelines, FilmAffinity fits because it links film and person records with user ratings and reviews on the same title identity used for cataloging.
Select the ingestion workflow shape based on how metadata reaches local libraries
If the goal is file-based interoperability for offline scraping, Ant Movie Catalog generates NFO and artwork assets during batch refresh for portable Kodi-style library setups. If the goal is repeatable local metadata enrichment with API-backed poster pulls, MediaElch uses TMDB API integration for consistent poster and title metadata and outputs NFO for local exchange.
Choose credit-first browsing when curation depends on cast and crew cross-checking
For researchers who want editorially curated cast and crew credits in consistent filmography pages, AllMovie supports navigable filmography context without requiring a file-output workflow. For Polish credit continuity, Filmweb uses Polish-localized film and person pages so cast and crew cross-checking stays fast during personal watchlist maintenance.
Use multi-user watch-state tracking when metadata must follow playback across devices
For a shared home library where watch state should stay tied to library items, Emby is the fit because multi-user library support keeps watched status connected across devices and metadata refresh flows reduce manual edits after new media is added. For multi-user collections with per-user watchlists inside a single catalog workflow, Movienizer supports per-user collections and watchlist tracking with batch metadata edits to reduce manual cleanup.
Confirm governance and admin readiness for shared libraries before committing
If a team expects RBAC-style controls and audit-style administration, avoid tools that keep admin governance controls out of the core library experience and rely on external tooling. For example, IMDb’s multi-user library and loan tracking need external database tooling, and its admin and governance controls like RBAC and audit log are not exposed for libraries.
Who should use this category of movie database software
Film metadata tools fit three distinct setups: personal curation with identity-linked enrichment, offline media-center workflows that consume file outputs, and shared household libraries that require watch-state continuity.
Each setup maps to specific software behavior such as batch NFO generation, credit-centric browsing pages, or multi-user watched tracking tied to playback libraries.
Catalogers who treat title identity as the backbone for deduplication
IMDb ID matching in IMDb reduces duplicate risk across enrichment tools, and FilmAffinity keeps cast and crew linked to a title identity that also hosts user ratings and reviews.
Home media setups that depend on offline scraping loops
Ant Movie Catalog writes NFO and artwork assets during batch refresh for portable Kodi-style library workflows, while MediaElch generates NFO files designed for repeatable local metadata enrichment.
Shared households that need watched progress tied to library items
Emby supports multi-user library playback-linked watch state across accounts and devices, and Jellyfin also keeps watched state supported for multi-user progress in a self-hosted environment.
Collectors focused on human review and credit accuracy over automation throughput
FilmAffinity attaches user ratings and reviews to the same title identity used for cataloging, and AllMovie emphasizes editorially curated cast and crew credit depth for research-style browsing.
Users who need localized credit browsing without heavy admin overhead
Filmweb’s Polish-localized film and person pages support credit-centric browsing for personal curation, and EMDB keeps curated poster and cast and crew records aligned in a web-based searchable library.
Common cataloging mistakes when choosing movie database software
Several failures come from mismatched workflow assumptions. People often expect full automation where the tool is built for browsing and record curation, or they expect governance controls that are not exposed for library collaboration.
Other mistakes come from identifier gaps and manual reconciliation workload when batch updates run against incomplete metadata or inconsistent library naming.
Expecting deep bulk automation from a tool optimized for credit browsing
FilmAffinity and AllMovie both excel at identity-linked browsing and credit presentation, but FilmAffinity shows limited evidence of deep API-first automation for bulk metadata workflows. If batch import and large-scale edits are the primary task, tools like Ant Movie Catalog or MediaElch fit more directly.
Assuming multi-user library governance and audit controls are built into every movie database tool
IMDb supports watch tracking concepts but it keeps admin and governance controls like RBAC and audit log out of the core library experience. Shared team workflows often need a different governance layer or an external database tooling approach.
Running batch refresh without ensuring identifiers and library naming are consistent
Jellyfin metadata matching quality depends on library naming and agent configuration, so inconsistent local naming can reduce match accuracy. Ant Movie Catalog and other batch systems can degrade accuracy when identifiers are missing and then require careful manual decisions.
Overwriting local fields during batch edits without setting safe configuration
Movienizer supports batch metadata edits, but batch operations need careful configuration to avoid overwriting local fields when match results are off. Planning which fields are allowed to update prevents losing handcrafted notes and custom tags.
Choosing file-output tools without matching them to the consuming ecosystem
Ant Movie Catalog and MediaElch generate NFO and artwork assets, so selecting them without a compatible scraping or metadata exchange workflow creates extra manual steps. Jellyfin keeps metadata tied to a playback-serving library, so its self-hosted integration model differs from NFO-first offline setups.
How We Selected and Ranked These Tools
We evaluated FilmAffinity, IMDb, Filmweb, AllMovie, EMDB, Emby, Ant Movie Catalog, Movienizer, Jellyfin, and MediaElch on features depth, operational fit, and how reliably catalog identities hold together during browsing and ingestion. Features counted 40% and combined integration depth, identity linkage behavior, and automation surfaces like batch edits and NFO or artwork output.
Ease and value each counted for 30% and were scored by how directly each tool matches its described workflow, such as credit browsing versus file-based offline library updates. FilmAffinity stood apart because it ties film and person records tightly to the same title identity used for cataloging while adding high-visibility user ratings and reviews in that browsing context.
Frequently Asked Questions About movie database software
How do IMDb, Filmweb, and Kinopoisk handle stable identifiers for cross-tool matching?
Which tool is better for building a local offline catalog with batch metadata refresh?
How does EMDB compare with Jellyfin for multi-user library organization and watch state tracking?
When does a file-based workflow matter for Kodi or other media centers?
What breaks if a catalog relies only on browsing views instead of exports and structured metadata files?
How do Movienizer and Emby handle duplicate detection and release year normalization at scale?
Which tool best supports automation when a setup needs repeated metadata pulls across many files?
How do database access controls work in Jellyfin compared with shared collections in Movienizer?
Where does FilmAffinity fall short for developer-driven data integration compared with self-hosted stacks?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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