Fix Choppy AI Videos and Make Them Smooth

RIFE (Real-time Intermediate Flow Estimation) is an AI algorithm specifically designed to generate smooth in-between frames. You give it your choppy 8fps video and it analyzes the motion between existing frames, generates new frames that logically fit in between, and outputs a smooth 24, 30, or 60fps version. The results are remarkably good on AI video footage because the motion in AI clips tends to be smooth and consistent — RIFE handles it well.

The best tools for RIFE interpolation:

• Topaz Video AI — the best quality, one-time purchase (~$199), desktop app. Batch process multiple clips. Their “Apollo” model handles AI footage especially well
• DaVinci Resolve (free) — has built-in optical flow speed change and frame blending that achieves similar results. Effects → Retime and Scaling → Optical Flow
• Flowframes (free, open source) — dedicated RIFE interpolation app for Windows. Set input FPS to your AI video’s actual frame rate, output to 24 or 30fps
• CapCut (mobile — free) — has a “smooth” frame interpolation option when you slow down a clip. Apply 0.5x slow motion with optical flow to effectively double the frame count

Most AI video tools now offer frame rate options — but they’re often not the default setting. Before generating, always check the output settings and set the highest frame rate available. Runway Gen-3, Kling, and Luma all offer 24fps or higher options that produce dramatically smoother base footage than their default low-fps outputs.

• Runway Gen-3: When creating a generation, look for the FPS option in advanced settings — set to 24fps if available
• Kling AI: Professional mode offers higher quality output — use this rather than standard mode for any footage that will appear in a final edit
• Luma Dream Machine: Generation quality significantly affects smoothness — use the highest quality option even if it takes longer
• Pika Labs: Check the FPS slider in generation settings — default is often low
• Higher FPS generation uses more credits/compute — worth it for the base quality improvement

Real-world cameras naturally capture motion blur — the slight smearing of moving subjects between frames that makes motion look fluid. AI video generators often produce razor-sharp frames without this blur, which makes motion look staccato even at reasonable frame rates. Adding subtle motion blur in post makes the footage read as more natural.

• DaVinci Resolve (free): Select the AI clip → Effects Library → Resolve FX → Motion Blur → adjust intensity to 0.3–0.5 (subtle is better than obvious)
• CapCut (free): Select clip → Effects → Video Effects → Blur → Motion Blur → adjust
• Premiere Pro: Effects → Video Effects → Blur & Sharpen → Camera Blur (use sparingly — 2–5%)
• Key rule: motion blur should be barely perceptible. If you can clearly see the blur, it’s too much and will look artificial in the opposite direction

AI-generated footage is often delivered as H.265 (HEVC) or WebM files. When you edit these and re-export using the wrong settings, the result looks choppier than the source footage. The correct export chain preserves quality without adding encoding artifacts that read as choppiness.

• Timeline frame rate: Match your editing timeline FPS exactly to your interpolated footage FPS. If you interpolated to 24fps, set your timeline to 24fps — not 30fps
• Export codec: H.264 for general use (YouTube, Instagram, sharing). ProRes 422 if you’re delivering to another editor or doing further post-production
• Bitrate: 10–15 Mbps for 1080p, 25–35 Mbps for 4K. Lower bitrates create compression artifacts that look like jitter, especially on motion-heavy AI footage
• Frame rate export match: Whatever your timeline FPS is, export at exactly the same FPS — never let the export settings “interpret” or convert the frame rate

This is a subtle but significant cause of added choppiness. If your AI clips are at 12fps and you drop them into a 30fps timeline, the editing software has to decide how to display 12 frames in 30 frame slots — it repeats frames, creating a stuttering effect that’s separate from (and in addition to) the original low frame rate. Before doing anything else with your footage, set your timeline FPS to match your source clips.

• DaVinci Resolve: New Project → Timeline → Framerate → match exactly to your AI footage
• Premiere Pro: New Sequence → Settings → Timebase → set to footage frame rate
• CapCut: Project settings → Frame rate → match to source
• Then either export at that frame rate (if acceptable) or interpolate up to your target FPS before changing the timeline setting

This is the workaround that cinematographers have known for decades: if your footage is choppy because it’s low frame rate, slow it down. When 8fps footage plays at 50% speed, it looks like deliberately artsy slow motion rather than choppy video. The choppiness becomes part of the aesthetic rather than a flaw — especially with AI video’s dreamlike quality.

• In your editor, right-click the AI clip → Speed → 40–60% of original speed
• Apply optical flow retiming if available — this interpolates smoothly during the slowdown
• Works best with: landscape footage, abstract AI clips, anything without fast-moving subjects
• Doesn’t work well with: AI clips containing speech (slowed audio is obvious) or clips where you need specific timing

Choppiness is most obvious when there’s motion happening. Static moments in AI video look fine — it’s during camera movement, subject movement, or transitions that low FPS becomes visible. Editing technique can disguise this by cutting away from clips at the moment movement starts, before the low frame rate becomes perceptible.

• Review each AI clip and note where motion starts (camera pan, subject movement, etc.)
• Set your out-point to one or two frames before that motion starts
• Cut to a static or slow-moving clip next, then back to motion in a new clip — the cut resets the viewer’s frame of reference
• Avoid long unbroken holds on moving AI footage at low frame rates — this is where choppiness is most obvious

Hard cuts between AI clips with different motion characteristics are immediately jarring. A short cross-dissolve (8–12 frames long) creates a smooth bridge between clips that disguises both the frame rate inconsistency and any slight visual mismatch between adjacent clips. Most AI video compilations that look polished use short dissolves rather than hard cuts.

• In your editor, select the edit point between two AI clips
• Apply a Cross Dissolve (or Dip to Black → up, for a more cinematic feel)
• Set the dissolve length to 8–12 frames (at 24fps that’s 0.3–0.5 seconds)
• Shorter dissolves look more intentional; longer ones can look like lazy editing

Before spending time fixing your video, confirm the choppiness is actually in the file — not in how it’s being played. Some devices and video players struggle with specific codecs or resolutions, displaying choppy playback even when the video file itself is perfectly smooth.

• Upload the video to YouTube (unlisted) and play it back — YouTube normalizes playback. If it’s smooth on YouTube, the file is fine and your local player is the problem
• Try playing in VLC (free, cross-platform) — VLC handles more codecs than most native players and gives a more accurate representation of actual video quality
• On mobile: if the video plays choppy in the Gallery app, try VLC for Android/iOS — many gallery apps struggle with H.265 or high-bitrate files
• If it’s smooth in VLC but choppy elsewhere: the file is fine, the player is the issue

If your AI video is in H.265/HEVC format and playing choppy on certain devices, transcoding to H.264 usually fixes playback choppiness because H.264 is hardware-decoded on virtually every modern device while H.265 support is less universal on budget hardware.

• Download and install HandBrake (free, Windows/Mac/Linux)
• Open your AI video file in HandBrake
• Presets → General → H.264 1080p30 (or match your source resolution)
• Keep the same frame rate as source, set quality to RF 18–22
• Click Start Encode — the output file will play smoothly on almost any device