Top 10 Best Video Interpolation Software of 2026

VEGAS Pro’s interpolation happens as part of a render pass from the timeline, so it fits editors who want consistent grading and effects on the same timeline. Motion-compensated interpolation uses its frame analysis step to place intermediate frames between existing frames, which supports frame rate conversion outputs like 60fps upconversion. For artifact suppression, VEGAS Pro provides timeline and render controls that affect how motion discontinuities show up in the final output. The workflow also pairs with VEGAS Pro’s existing rendering pipeline so batch processing can queue multiple timeline segments into one render set.

A key tradeoff is that VEGAS Pro does not provide an AVISynth or VapourSynth script style external filter chain where frame interpolation can be tuned like a standalone pipeline. It works best when the interpolation needs to be timed to editorial cuts and effects, such as converting sports inserts to a 60fps look while keeping titles and transitions consistent. Scenes with heavy scene changes can still show motion artifacts if interpolation settings are not aligned with cut pacing. In that situation, manual review of motion-heavy segments remains necessary before full batch output.

Final Cut Pro targets editors who need frame rate conversion without leaving the timeline, because retiming settings apply to clips and compound sequences directly. The workflow centers on timeline retiming and playback preview, then relies on Final Cut Pro’s rendering pipeline for intermediate frame synthesis during export. GPU-accelerated playback keeps iteration practical on large timelines, especially for cadence changes that span many shots.

A key tradeoff is that Final Cut Pro does not expose the same scriptable, filter-chain style controls that ffmpeg frame interpolation or AVISynth and VapourSynth approaches provide. The most common usage situation is preparing motion-heavy edits where editorial timing adjustments must stay aligned with cuts, effects, and audio sync before final render.

Filmora’s frame interpolation capabilities are accessed from the editing environment, with controls that apply temporal changes per clip and then export through its normal render path. The workflow fits editors who want frame rate upconversion without building ffmpeg frame interpolation chains or maintaining external script pipelines. Output behavior is oriented around common consumer codec paths, with less emphasis on repeatable benchmark-style visual fidelity metrics and tuning.

A tradeoff appears in batch processing depth and pipeline control, since Filmora’s interpolation controls are tied to its timeline editing model. Filmora fits situations where fewer assets need interpolation and the team values interactive preview over deterministic, scriptable rendering throughput. It is less suited when strict automation is required across many encodes or when an AVISynth or VapourSynth filter chain is the standard.

SmoothVideo Project is a video interpolation tool built around an AVISynth filter workflow that can generate intermediate frames for frame rate upconversion. It ships with practical presets for SVP-style real-time pipelines, including motion estimation and frame buffer handling inside a scriptable render chain.

The tool targets motion-compensated interpolation with scene change detection to reduce temporal flicker across cuts. Output quality depends heavily on codec compatibility and the chosen processing chain, especially when pushing to 60fps upconversion or 120fps generation.

Video2X is a GitHub-based video frame interpolation tool that generates intermediate frames for frame rate upconversion workflows. It runs as an ffmpeg-friendly pipeline that batch-processes sources through selectable interpolation models while preserving the input codec container flow.

The project is geared toward motion-compensated interpolation workflows where frames are buffered, motion is estimated, and new frames are written into the output stream. Integration is primarily automation through command-line usage and filter-chain style operation rather than a graphical editor.

Adobe After Effects is a compositing and motion design tool used for frame interpolation when studios need artistic control over temporal artifacts. It can create motion-compensated intermediate frames via Optical Flow, then refine results with frame blending and manual timing adjustments.

Its rendering pipeline supports multi-layer effects, color-managed workflows, and automation through Adobe scripting and render queue jobs. Compared with dedicated interpolation apps, it trades turnkey SVP-style throughput for timeline-native editing and effect chaining control.

HitPaw VikPea differentiates itself with an interpolation workflow that emphasizes quick output generation from consumer video files, with preset-like handling for frame rate upconversion targets. It performs intermediate frame synthesis using motion-focused inference and provides output rendering that fits common editing pipelines.

The tool supports batch processing and offers controllable inference strength and denoising-style adjustments to manage artifact suppression in challenging motion. Codec and container handling is geared toward practical export rather than script-first chaining like an AVISynth or VapourSynth filter chain.

Pixop targets frame rate upconversion workflows with a GPU inference engine that generates intermediate frames using its own interpolation model. The product supports batch processing through queue-style jobs, which helps studios run repeatable renders over large clip sets.

Configuration focuses on output timing controls and codec handling so pipelines can preserve container and stream settings while increasing frame rate. In practice, Pixop is built for predictable offline interpolation output rather than real-time tweaking in an editor timeline.

TensorPix generates intermediate frames for motion-compensated frame rate upconversion using a GPU inference pipeline.

The workflow centers on uploading a source video, selecting an output frame rate, and running batch processing with consistent temporal interpolation across the full clip.

TensorPix also supports common codec and container combinations for frame interpolation output, which reduces the need for manual conversion steps.

Error cases and artifacts are mitigated through model-side tuning, but scene change handling is less controllable than in script-driven AVISynth or VapourSynth chains.

AVCLabs Video Enhancer AI focuses on AI-driven frame interpolation and upscaling, aiming at higher perceived motion smoothness without requiring an AVISynth or VapourSynth pipeline. It supports batch-style processing for offline workflows and provides controls for output frame rate conversion targets.

Motion quality depends on its interpolation model inference, with typical strengths in reducing jitter during moderate camera motion. Results vary most on fast scene change detection and high-contrast motion edges.