AI Frame Interpolation Tool

Increase a video’s frame rate to 48, 60, or 120 FPS with AI-generated in-between frames for smoother motion.

AI Frame Interpolation increases a video’s frame rate by generating new in-between frames with a neural network (RIFE) instead of simply duplicating or blending existing frames. The result is noticeably smoother motion — 24/30fps footage starts to feel like 60fps, and 60fps clips can be lifted to a high-refresh-friendly 120fps. The processing runs on our own GPU server, not a third-party API, and the output is an MP4 you can drop straight into any player.

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Supported formats

Input formats

  • MP4
  • MOV
  • WEBM
  • MKV
  • AVI
  • M4V

Output formats

  • MP4
  • Maximum source duration and processing height are bounded by AI_FRAME_INTERPOLATION_MAX_DURATION_SECONDS and AI_FRAME_INTERPOLATION_MAX_HEIGHT on the server.
  • AI interpolation is GPU-heavy. Lower the max processing height for faster turnaround on tall sources.
  • Output is MP4 (H.264 + AAC) in v1. Audio is preserved from the source by default.

How to use it

  1. Upload a video

    Drop in a short MP4, MOV, WebM, MKV, or AVI clip.

  2. Open AI Video Tools

    In the video form, scroll to "AI Video Tools" and select AI Frame Interpolation.

  3. Pick target FPS and quality

    Choose 48, 60, or 120 FPS and an encode quality / max processing height.

  4. Run interpolation

    We extract frames, run RIFE on our GPU, and re-encode an MP4 at the new FPS.

  5. Download MP4

    Save the interpolated clip and preview it next to the original.

What this tool does

  • Synthesizes new in-between frames with RIFE (rife-ncnn-vulkan) rather than duplicating or blending existing frames.
  • Targets 48, 60, or 120 FPS with quality and max-processing-height presets you control.
  • Runs on our own GPU server — no third-party AI provider sees your file.
  • Returns an MP4 with H.264 + AAC (the audio track from the source is preserved by default).
  • Limits long or very tall sources up front so a single job can’t hog the GPU.

Why it matters

  • Motion smoothness is one of the biggest perceptual differences between consumer and broadcast-quality video.
  • Modern displays and many social platforms favor 60fps and 120fps content for smoother playback.
  • Older or low-frame-rate footage can be brought up a notch without re-shooting the source material.

Common use cases

30fps → 60fps for the web

Lift talking-head, screencast, or vlog footage into the smoother 60fps range typical for modern social and video sites.

60fps → 120fps for high-refresh playback

Prepare footage for 120Hz/144Hz displays or downstream slow-motion editing.

Smoother short clips

Make a 5–10 second cut look noticeably smoother before sharing.

Restoring older clips

Pull legacy 24/30fps clips into 48 or 60fps for a more modern playback feel.

Editing prep

Generate a denser frame timeline before applying slow motion or motion graphics in a downstream editor.

Advanced details
  • Frame extraction uses ffmpeg with vsync=0 so the input frame count matches the source FPS exactly.
  • RIFE runs through rife-ncnn-vulkan with the chosen model directory (rife-v4.6 is the recommended default; rife-v4 and rife-v2.3 are also available for compatibility).
  • After interpolation, ffmpeg re-encodes to H.264 (libx264) + AAC at the chosen quality (CRF 26/20/17 for low/medium/high).
  • Source audio is remapped onto the new encode and the output uses +faststart so the file streams cleanly over HTTP.
  • A max processing height (default 720p) caps GPU memory pressure on tall sources; the original aspect ratio is preserved with -2:min(ih,N) scaling.

Why Media Manipulator

  • Runs on our own GPU infrastructure — no third-party AI provider receives the file.
  • Uses rife-ncnn-vulkan, a portable Vulkan binary, instead of a heavy PyTorch stack — fewer dependencies, faster cold starts.
  • Free, no signup, automatic cleanup of uploads within 24 hours.

Privacy & file handling

Your uploads are processed on our own servers and are designed to be automatically deleted within 24 hours. We do not share your files with third-party AI providers, and AI features run on a local GPU server we operate. No login or account is required.

Frequently asked questions

  • Does AI frame interpolation actually improve video quality?

    It improves motion smoothness, not resolution or sharpness. If your source is already 60fps it will feel smoother at 120fps. If your source is 24/30fps it will feel closer to 60fps. It does not magically recover real motion that the camera never captured.

  • Is AI frame interpolation the same as just increasing FPS?

    No. Basic FPS conversion typically duplicates, drops, or blends existing frames. AI interpolation synthesizes brand-new in-between frames based on estimated motion, which usually looks much more natural than duplication.

  • Can I convert 30fps to 60fps?

    Yes — 30fps to 60fps is one of the most common targets and a good first test.

  • Can I convert 60fps to 120fps?

    Yes. 120fps doubles the GPU work versus 60fps and produces a larger file, so try a short clip first.

  • Why can frame interpolation create artifacts?

    Motion estimation has to guess what happens between two real frames. Fast motion, hands, hair, wheels, occlusions, and scene cuts are inherently harder — the synthesized frame can warp, ghost, or smear in those regions.

  • What output format does the tool create?

    MP4 with H.264 video and AAC audio. v1 only emits MP4 because that container plays back everywhere and supports the higher frame rates this tool produces.

  • Is 60fps always better than 30fps?

    For UI screencasts, sports, gameplay, and motion-heavy clips, 60fps usually feels more fluid. For cinematic content, 24/30fps is often the intended look. Pick the FPS that matches how you want the result to feel.

  • Is AI frame interpolation better than FFmpeg minterpolate?

    AI interpolation (RIFE) generally produces cleaner motion than FFmpeg’s built-in minterpolate filter, especially for non-rigid motion. minterpolate is faster, simpler, and still useful for quick fallback conversions.

  • Why do scene cuts sometimes look strange after interpolation?

    The model assumes adjacent frames belong to the same motion sequence. A hard scene cut breaks that assumption, so the synthesized frame at the boundary can show a brief warp. Clean cuts and short clips help.

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