Commissioned Research
Top 10 Best Piano Transcription Software of 2026

GITNUXSOFTWARE REVIEW

Music And Audio

Top 10 Best Piano Transcription Software of 2026

Compare piano transcription software tools for turning audio to sheet music, with notes on features and fit for musicians and producers.

19 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page. This does not influence our reviews. Editorial policy

Piano transcription software turns recorded performances into an editable note and notation data model for notation editing, rehearsal, and arrangement. This comparison helps operators and technical evaluators weigh audio separation, polyphonic audio-to-MIDI detection, and export formats against integration needs like DAW workflows and automation.

AnthemScore is the best pick for pianists who want fast draft transcription into editable notation because its accuracy scoring highlights which clips to rerun, while Melodyne is the alternative for dense piano recordings since its detection-view note editing lets you refine pitch and duration before exporting MIDI or MusicXML.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

AnthemScore

Transcription accuracy score surfaces result quality so reruns target specific clips and segments.

Best for: Fits when pianists need fast draft transcription with DAW and notation exports for editing.

2

Melodyne

Editor pick

Note-editing in the detection view lets each detected pitch and duration be corrected before exporting.

Best for: Fits when dense piano recordings need detailed note-level correction plus MIDI and MusicXML exports.

3

ScoreCloud

Editor pick

Notation-level editing of transcription output before export, designed for correcting measure and rhythmic issues.

Best for: Fits when pianists need reviewable MusicXML output from recorded audio for rehearsal.

Comparison Table

1
AnthemScoreBest overall
vertical specialist
9.5/10
Overall
2
8.8/10
Overall
3
vertical specialist
8.6/10
Overall
4
API-first
8.5/10
Overall
5
vertical specialist
8.2/10
Overall
6
vertical specialist
7.7/10
Overall
7
vertical specialist
7.4/10
Overall
8
prosumer
7.3/10
Overall
9
vertical specialist
6.9/10
Overall
10
vertical specialist
6.5/10
Overall
#1

AnthemScore

vertical specialist

Desktop application that converts recorded audio into music notation using neural networks.

9.5/10
Overall
Features9.5/10
Ease of Use9.5/10
Value9.5/10
Standout feature

Transcription accuracy score surfaces result quality so reruns target specific clips and segments.

AnthemScore focuses on piano-specific transcription steps like polyphonic note segmentation and pitch tracking across dense chords. The product then maps detected events into note streams that can be exported for downstream editing in MIDI and MusicXML workflows. A transcription latency profile favors interactive use on smaller segments, so multi-minute sources are less predictable for tight rhythmic detail.

A key tradeoff is reliance on audio quality and performance clarity, because pedal behavior and overlapping harmonics can reduce onset clarity in sustained passages. AnthemScore fits best for musicians and arrangers who need fast draft notation from WAV or MP3 inputs and then refine quantization, articulation, and dynamics in a DAW or notation editor.

Pros
  • +Quick audio-to-notes conversion for piano arrangements
  • +MusicXML export supports notation editor workflows
  • +Transcription accuracy score helps target reruns and edits
  • +MIDI export enables DAW-level timing and voicing cleanup
Cons
  • –Sustained passages can blur onset detection and rhythm
  • –Long recordings require manual segmentation for consistent output
Use scenarios
  • Piano arrangers

    Turn recordings into editable sheet music

    Cleaner notation drafts

  • DAW producers

    Rework timing and voicing after export

    Tighter groove

Show 1 more scenario
  • Music educators

    Generate practice material from student demos

    Faster feedback cycles

    Produces repeatable note outputs for short clips so students can compare performances to notation.

Best for: Fits when pianists need fast draft transcription with DAW and notation exports for editing.

#2

Melodyne

SMB

Professional audio editing software with polyphonic audio-to-MIDI note detection and export.

8.8/10
Overall
Features8.8/10
Ease of Use8.8/10
Value8.8/10
Standout feature

Note-editing in the detection view lets each detected pitch and duration be corrected before exporting.

Melodyne focuses on audio-to-MIDI conversion for polyphonic performances, using pitch detection and detailed note-level editing. The workflow centers on transforming recorded audio into manipulable notes, then exporting MIDI or MusicXML for engraving-grade layouts.

Melodyne also includes tempo handling and quantization controls to align output timing with a target grid. It is a transcription workbench rather than a live transcription engine.

Pros
  • +Pitch-dominant editing is precise at the note level for piano audio
  • +Supports MIDI export and MusicXML export for notation workflows
  • +Quantization controls help align detected timing to a chosen grid
  • +Works well when manual correction is expected after detection
Cons
  • –Polyphonic transcription can require hands-on cleanup for dense chords
  • –Audio-to-MIDI results depend heavily on recording quality and separation
  • –Direct piano-specific workflows like staff-first editing are limited
  • –VST plugin integration adds extra setup for DAW round-trips
Use scenarios
  • Instrumental producers and musicians

    Correct solo piano note pitch

    Cleaner editable note events

  • Post-production editors

    Repair piano cues in dialogue

    More usable dialogue

Show 2 more scenarios
  • Music producers and engineers

    Align harmony notes in piano chords

    Better-aligned harmony tracks

    Producers refine pitch and timing in layered piano harmony by editing detected notes individually.

  • Vocal producers and editors

    Correct expressive transitions in piano-vocal mixes

    More accurate performance

    Editors tune note drift and transitions in lead material by adjusting specific note events rather than applying one global correction.

Best for: Fits when dense piano recordings need detailed note-level correction plus MIDI and MusicXML exports.

#3

ScoreCloud

vertical specialist

Audio and MIDI to notation engine developed by DoReMIR Music Research.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Notation-level editing of transcription output before export, designed for correcting measure and rhythmic issues.

ScoreCloud is geared for practical piano transcription work where detected notes need review before publishing or rehearsal. Audio import flows into a transcription step, and the result is presented for notation-level adjustments that can address mis-segmented phrases and rhythm irregularities. Export supports formats that integrate with other notation tools, including MusicXML, which helps preserve note and measure structure for downstream editing.

A tradeoff is that transcription quality varies with recording quality and polyphonic complexity, so some passages need manual correction to reach performance-ready notation. It fits situations like converting rehearsed demo recordings into readable lead sheets for arranging, practice, or sharing with players, where review time matters as much as detection time.

Pros
  • +MusicXML export supports downstream notation and arrangement edits
  • +Editor workflow supports iterative cleanup of detected results
  • +Audio import to score output reduces manual transcription overhead
  • +Notation-focused editing matches common piano transcription deliverables
Cons
  • –Accuracy drops on dense polyphonic textures without cleanup
  • –More complex rhythms often require manual timing correction
  • –Workflow depends on review steps rather than full automation
  • –Thin support for fully automated batch pipelines
Use scenarios
  • Music arrangers

    Turn demos into notated piano parts

    Faster part creation

  • Studio musicians

    Recreate keyboard lines from tracks

    Performance-ready sheet music

Show 2 more scenarios
  • Educators

    Prepare practice sheets from recordings

    Clear student handouts

    Exported notation supports lesson materials after cleanup for readability.

  • Producers

    Document parts for collaborators

    Lower coordination friction

    ScoreCloud outputs structured notation for sharing with arrangers and performers.

Best for: Fits when pianists need reviewable MusicXML output from recorded audio for rehearsal.

#4

Basic Pitch

API-first

Open-source AI model that converts polyphonic audio recordings to MIDI files through a web interface.

8.5/10
Overall
Features8.5/10
Ease of Use8.5/10
Value8.5/10
Standout feature

Piano-oriented transcription that outputs an editable MIDI note event stream with consistent onset timing.

Basic Pitch targets piano-focused audio-to-MIDI conversion and produces a note event sequence with timing suitable for grid-based editing. The tool is commonly used as a preprocessing step before higher-level arrangements or manual correction in editors that understand MIDI. Basic Pitch’s transcription flow favors repeatable results over interactive tuning because runs are typically handled as offline jobs.

Pros
  • +Strong piano-focused note timing for MIDI-focused workflows
  • +Export-ready note events that map cleanly into DAW editing
  • +Offline batch runs make results repeatable for pipelines
  • +Good handling of typical sustain behavior in piano recordings
Cons
  • –Less reliable on non-piano instruments and mixed ensembles
  • –Requires preprocessing choices like file format and level trimming
  • –Dense passages can reduce segmentation accuracy
  • –No built-in score editor for direct MusicXML authoring
Use scenarios
  • Composer and arranger

    Convert piano demo audio to MIDI

    Faster arrangement iteration

  • Music producer

    Transcribe recorded piano parts

    Reduced re-performance time

Show 1 more scenario
  • Transcription service operator

    Batch convert lesson recordings

    Higher throughput per recording

    Run offline transcription jobs to create consistent MIDI inputs for downstream formatting.

Best for: Fits when piano audio needs MIDI-ready note events for DAW or score post-processing.

#5

RipX

vertical specialist

Audio separation and editing platform that converts stems into MIDI.

8.2/10
Overall
Features8.2/10
Ease of Use8.2/10
Value8.2/10
Standout feature

Piano-focused segmentation that preserves dense chord timing better than general audio-to-MIDI converters.

RipX performs audio-to-MIDI conversion focused on piano transcription workflows. It targets note segmentation across polyphonic passages and produces exportable MIDI plus score formats for editing in notation software.

Pros
  • +Focused transcription flow from piano audio to editable note events
  • +MIDI export supports direct import into DAWs and notation editors
  • +Quantization and velocity mapping reduce manual cleanup for rhythms
  • +Works well for dense chord voicings compared with generic stem tools
Cons
  • –Polyphony limit becomes visible on thick left-hand plus sustain pedal mixes
  • –More setup tuning is needed for consistent results across different recordings
Use scenarios
  • Musicians and producers

    Turn recorded piano into MIDI

    Editable MIDI for arranging

  • Musicians and cover performers

    Build rehearsal backing from piano parts

    Backing track for rehearsal

Show 2 more scenarios
  • Producers and audio editors

    Fix timing and dynamics in stereo mixes

    Localized musical edits

    Editors make localized pitch, timing, volume, or effect changes to detected notes inside a finished mix.

  • Audio editors and post-production teams

    Extract dialogue from mixed audio

    Dialogue-focused audio track

    Teams isolate speech from music or other mixed content and clean it for downstream work.

Best for: Fits when arranging piano recordings into MIDI and MusicXML for rehearsal drafts.

#6

WIDI Recognition System

vertical specialist

Dedicated audio-to-MIDI converter that transcribes polyphonic music recordings into editable MIDI files.

7.7/10
Overall
Features7.7/10
Ease of Use7.7/10
Value7.7/10
Standout feature

Export to MusicXML plus MIDI from the same transcription run to keep notation and playback aligned.

WIDI Recognition System performs audio-to-sheet transcription for piano performances, converting polyphonic recordings into notated music. It focuses on pitch and timing extraction and then maps detected events into a score format that can be imported into standard music workflows.

Pros
  • +Produces both MIDI and MusicXML outputs for notation and DAW editing
  • +Good event timing extraction for legato passages and dense passages
  • +Strong pitch detection behavior for typical piano ranges and registers
  • +Batch offline transcription supports throughput for larger libraries
Cons
  • –Score cleanup is often required for ornaments, uneven pedaling, and overlaps
  • –Higher polyphony passages can reduce note segmentation accuracy
Use scenarios
  • Songwriters and arrangers

    Transcribe piano recordings into readable sheet music

    Faster transcription and editing

  • DAW producers

    Export MIDI and MusicXML for editing

    Importable production-ready data

Show 2 more scenarios
  • Music teachers

    Prepare student practice scores from recordings

    Clear materials for lessons

    Generates sheet music from piano audio to support assignments and targeted feedback.

  • Music archivists

    Digitize legacy piano performances to notation

    Digitized, usable archive

    Turns older recordings into scores that can be stored and searched within music workflows.

Best for: Fits when offline piano tracks need MIDI and MusicXML export for rapid score editing.

#7

Neuratron AudioScore

vertical specialist

Software that transcribes audio recordings and performances into editable notation.

7.4/10
Overall
Features7.4/10
Ease of Use7.4/10
Value7.4/10
Standout feature

Analysis-driven transcription with a tight edit-and-re-export loop designed for piano scores.

Neuratron AudioScore targets piano-focused transcription workflows with an emphasis on turning recorded performances into editable notation. It handles audio-to-MIDI style extraction and exports into score formats used by notation editors, with analysis steps that support realistic timing and dynamics.

Pros
  • +Strong piano transcription workflow with detailed post-analysis editing control
  • +Exports notation-friendly MIDI and score formats for downstream finishing
  • +Produces timing and dynamics that stay editable rather than forcing fixed output
  • +Repeatable analysis passes support iterative refinement on difficult passages
Cons
  • –Polyphonic results can still require manual correction on dense textures
  • –Higher accuracy often depends on clean input recordings and setup choices
Use scenarios
  • Arrangers handling multiple takes

    Batch-analyze several piano recordings

    Reusable MIDI and notation drafts

  • Composers transcribing chord progressions

    Convert chorded piano parts into notes

    Corrected notation for harmonies

Show 2 more scenarios
  • Pianists studying melodies and solos

    Transcribe single-line improvisations to staff

    Readable score for study

    Turns clear lead lines into editable notation for practice, analysis, and reuse.

  • Performers preparing sheet music drafts

    Generate editable staff notation from takes

    Staff-ready score for editing

    Creates a score draft from performance audio, then supports timing and pitch corrections before export.

Best for: Fits when piano audio needs a notation-first workflow and iterative correction before final export.

#8

Moises

prosumer

AI music app that separates instrument stems, detects chords, and transcribes piano and guitar parts from audio.

7.3/10
Overall
Features7.3/10
Ease of Use7.3/10
Value7.3/10
Standout feature

Stem-first preprocessing that separates instruments before transcription to reduce note confusion in mixed audio.

Moises converts audio recordings into transcription outputs that musicians can turn into playable parts without manually mapping every note.

Pros
  • +Fast audio-to-notes workflow for mixed recordings
  • +Instrument stem separation improves note extraction on crowded tracks
  • +Notation export supports practical transcription handoff
  • +Cleanup controls help reduce obvious transcription artifacts
Cons
  • –Polyphonic transcription accuracy drops on dense chords
  • –Sustain pedal tracking is inconsistent on heavily re-pedaled performances
  • –Export tuning is limited for users needing strict timing grids
  • –Less suitable for fully automated large batch pipelines
Use scenarios
  • Music students

    Transcribe practice audio into piano notes

    Faster note learning

  • Cover artists

    Reduce accompaniment for new vocal or piano

    Cleaner overdub workflow

Show 2 more scenarios
  • Freelance producers

    Export separated parts for DAW editing

    Editable component tracks

    Producers export stems for multitrack cleanup and arrangement changes inside a DAW.

  • Arrangers and rehersal bands

    Verify chords with isolated audio

    Quicker harmony checks

    Arrangers use key and chord cues from separated parts to confirm harmony during rehearsal.

Best for: Fits when solo musicians need quick audio-to-notation results for practice, then do manual polish in a DAW.

#9

Transcribe!

vertical specialist

Software assistant for manually transcribing music from recordings.

6.9/10
Overall
Features6.9/10
Ease of Use6.9/10
Value6.9/10
Standout feature

Piano transcription workflow that emphasizes segmentation review and revision before exporting MIDI or MusicXML.

Transcribe! focuses on turning audio into piano-oriented notation with an interface built around controllable transcription runs.

Pros
  • +Fast transcription iteration loop for revising note segmentation
  • +Export paths fit DAW and notation workflows via MIDI and MusicXML
  • +Piano-focused output workflow reduces post-editing overhead
  • +Clear playback and correction workflow for timing review
Cons
  • –Accuracy drops on dense passages with high polyphony
  • –Limited control over advanced processing like fine quantization tuning
Use scenarios
  • Piano players transcribing solos

    Convert recorded melodic audio into piano notation

    Reviewed piano MIDI or MusicXML

  • Bassists reconstructing recordings

    Analyze bass audio into editable note events

    Editable bass notes for export

Show 2 more scenarios
  • Guitarists creating arrangement drafts

    Generate correctable piano-ready representations

    Refined draft for sequencing

    Use transcription runs to produce note output and refine it with manual corrections as needed.

  • Arrangers preparing rehearsal parts

    Transpose lines for different rehearsal keys

    Transposed notation draft for rehearsal

    Adjust the transcription output to the intended key so the part matches rehearsal needs.

Best for: Fits when solo or near-solo piano recordings need notation quickly with MIDI handoff.

#10

Samplab

vertical specialist

Plugin that detects notes from audio and converts them to MIDI in real time.

6.5/10
Overall
Features6.5/10
Ease of Use6.5/10
Value6.5/10
Standout feature

Batch-oriented transcription configuration that keeps runs consistent across multiple audio files, then outputs MusicXML for notation review.

Samplab targets piano audio to notation work where repeatable conversion settings matter more than interactive editing.

Pros
  • +MusicXML and MIDI exports fit notation and playback review workflows
  • +Transcription settings make batch-like reruns more consistent
  • +Handles polyphonic piano better than basic monophonic pitch workflows
  • +Post-transcription timing refinement reduces cleanup in notation tools
Cons
  • –Polyphony is still limited on dense chords with fast pedal changes
  • –Long recordings can increase transcription latency before results appear
  • –Accuracy drops when the sustain pedal blurs note boundaries
  • –DAW-centric workflows rely more on export than deep in-plugin editing
Use scenarios
  • Notation editors

    Batch-convert piano audio to MusicXML

    Readable score drafts

  • MIDI programmers

    Export piano parts as MIDI

    MIDI-ready transcription

Show 2 more scenarios
  • Piano arrangers

    Create editable notation from chords

    Editable chord notation

    Arrangers use transcription outputs to start chord-based notation and correct note segmentation results.

  • Producers for notation-based review

    Generate staff-readable drafts from takes

    Staff-ready transcription drafts

    Producers run transcription and use exported notation formats to review and refine parts in standard tools.

Best for: Fits when piano cover audio needs repeatable export to notation tools with minimal manual re-entry.

Conclusion

After evaluating 10 piano transcription software, AnthemScore 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.

Our Top Pick
AnthemScore

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Piano Transcription Software

Which tool output format is most reliable for turning piano audio into editable sheet music?
Neuratron AudioScore outputs into score formats used by notation editors after an analysis pass and an edit-and-re-export loop. WIDI Recognition System exports MusicXML plus MIDI from the same transcription run, which keeps score import and playback aligned for notation toolchains.
How does AnthemScore decide which segments to rerun when the transcription accuracy score flags errors?
AnthemScore surfaces an explicit transcription accuracy score tied to the processed clips and segments. That score supports targeted reruns so a new analysis pass can focus on the problematic section instead of repeating the full audio.
When should a workflow choose offline batch transcription instead of real-time monitoring?
Basic Pitch is designed for offline batch transcription where audio is processed into a clean note event stream for later quantization and conversion. WIDI Recognition System also targets offline transcription, which fits batch processing for MIDI export and MusicXML export rather than low-latency tracking.
What breaks down first when transcribing dense polyphonic passages with a segmentation-first tool?
RipX targets note segmentation across polyphonic passages and then applies timing quantization and velocity mapping, which can still struggle when chord timing overlaps tightly. Melodyne can correct each detected pitch and duration in its detection view, but dense overlapping notes may still require manual cleanup to produce stable note segmentation.
How does Samplab keep conversion settings consistent across multiple piano files?
Samplab is batch-oriented and emphasizes repeatable transcription configuration over interactive editing. That workflow helps teams run the same preprocessing and export pipeline to MIDI and MusicXML so notation review stays consistent across a set of recordings.
Where does Spleeter-style stem separation fit relative to piano transcription engines like Moises?
Moises performs stem-first preprocessing that separates mixed material into instrumental stems before transcription. This reduces note confusion compared with direct transcription on a fully mixed track, which matters when piano sits alongside other instruments.
Which tool is best for an editor-in-the-loop workflow that corrects notation before final export?
ScoreCloud provides a review workflow where the transcription output is cleaned through notation-level annotation steps before MusicXML export. Neuratron AudioScore uses an analysis pass followed by score correction and re-export, which keeps the edit-and-export loop tight for piano notation work.
What tradeoff appears when switching from interactive note editing to a transcription workbench approach?
Melodyne acts as a transcription workbench focused on note-level editing of detected pitches and durations, then it exports MIDI or MusicXML after quantization controls. Tools that emphasize export-oriented pipelines like Basic Pitch can be faster for note event generation, but they rely on downstream quantization and score conversion for detailed corrections.
How can users plan a DAW integration workflow when a tool exports both MIDI and MusicXML?
WIDI Recognition System can export MIDI and MusicXML from the same run, which supports a DAW playback check against the imported score. AnthemScore also exports MIDI for DAW iteration and structured MusicXML output for notation toolchains, which helps keep timing validation consistent across environments.
Which tool falls short when the recording needs segmentation review rather than automated capture?
Transcribe! emphasizes reviewing segmented note output and iterating on accuracy before committing to MIDI or MusicXML export. That review focus can be slower than pipeline-first tools like Basic Pitch, which prioritizes an editable MIDI note event stream with consistent onset timing for post-processing.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Piano Transcription Software

Options in piano transcription software mainly differ in how reliably they turn performances into readable notation and usable MIDI, especially for timing and expressive playing. The biggest separator is usually MIDI export fidelity.

Readable notation output

Why it matters

Readable notation output matters because you need to verify pitch placement, rhythmic spelling, and legibility immediately after transcription. If the output is cluttered or oddly formatted, you’ll spend more time editing than transcribing.

How to check

Transcribe a short phrase and review the resulting score in the app. Look for sensible note lengths (not mostly ties) and whether bars/accents appear where you expect.

MIDI export fidelity

Why it matters

MIDI export fidelity matters because many workflows start with MIDI for quick editing, then finalize notation. If timing or note data is off, the score will inherit those errors.

How to check

Export a take to MIDI and re-import it into the same tool or a DAW you already use. Scrub the playback and spot-check note starts/ends against the original audio.

Timing and rhythmic alignment

Why it matters

Timing and rhythmic alignment matters because transcription tools can “snap” to a grid that doesn’t match how your performance lands. That shows up as shifted note onsets and awkward bar placement.

How to check

Use audio with rubato or a clear count-in click nearby, then compare the transcript to where the performance actually lands. Ask for a setting that controls tempo/timing behavior and see how changes affect alignment.

Expression handling in output

Why it matters

Expression handling matters because piano performances carry dynamics and articulation cues that affect how the transcription reads. When expression is ignored or mis-mapped, it sounds wrong and edits take longer.

How to check

Transcribe a passage with clear soft/loud contrasts and staccato/legato mix. Check whether dynamics and articulation-related data exist and whether they track your performance instead of staying flat.

Round-trip editing workflow

Why it matters

Round-trip editing workflow matters because transcription is rarely final on the first pass. If you can edit notes, then regenerate a consistent MIDI/notation state, you’ll move faster.

How to check

Try editing a few problematic notes in the score and verify what updates in MIDI (or vice versa). Confirm whether edits can be exported without breaking timing or note boundaries.

Red flags

  • Output is hard to read: rhythm looks wrong or formatting forces constant cleanup
  • MIDI playback doesn’t match the audio on note starts and note lengths
  • Edits don’t stay consistent between score and MIDI exports

Fit by situation

  • If you need sheet-music-ready results quickly, prioritize readable notation output.
  • If you build arrangements by editing MIDI first, prioritize MIDI export fidelity.
  • If you play with rubato or expressive timing, prioritize timing and rhythmic alignment.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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