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Openai/69717abe-508c-8009-a527-9071fdb25608


This conversation was exported from ChatGPT[1]

gpt-5-2-thinking edit

User: What software tools can take the input of speech audio and a video of someone, and output a video that has the person's… edit

What software tools can take the input of speech audio and a video of someone, and output a video that has the person's mouth animated to match the speech audio.

I would like more control over the character voices in my videos than I'm currently getting with Sora.

Assistant: If you already have 1 speech audio and 2 a video of someone, what you’re looking for is usually called “lip-sync / visu… edit

If you already have (1) speech audio and (2) a video of someone, what you’re looking for is usually called “lip-sync / visual dubbing” (sometimes “video-to-video lip-sync”). A good workflow is:

  1. generate/record the exact voice you want (TTS/voice clone or actor VO), then
  2. run a lip-sync tool to re-time/reshape the mouth in the existing video to match that audio.

Below are the main tool options, grouped by “how much control” vs “how much convenience.”

Fast, creator-friendly cloud tools (upload video + audio → lip-synced video) edit

These are the easiest way to get results without setting up ML locally:

  • Sync Labs (sync.so) – lipsync-2-pro Marketed specifically as “replace dialogue in any video with perfect lipsync,” supports high-res/4K and offers an API. sync.so[2]
  • HeyGen – Lip Sync / Video Translate Lets you upload footage and apply lip-syncing (often framed around localization/translation, but it’s still “video + audio → lip-synced video”). HeyGen[3]
  • Rask AI – Lip Sync Also positioned around translated video localization, but designed to lip-sync video outputs to new audio tracks. Rask[4]
  • D-ID – (Talking head / reenactment) Strong for “speaking portrait / presenter” style, and also has an API that supports generating video from audio. Best when your shot is mostly a face-on talking head. D-ID[5]

When these shine: quick turnaround, good general quality, minimal setup. Tradeoff: less granular control over visemes/phoneme timing; sometimes artifacts on extreme angles, occlusions (hands/mics), fast motion.

Film/TV-grade “visual dubbing” (highest realism, highest friction/cost) edit

  • Flawless – TrueSync Built for professional localization/dubbing, aiming for “native-looking” visual dubs from any audio source. This is closer to “Hollywood visual ADR” than a typical creator app. flawlessai.com[6]

When it shines: best-in-class realism for real actors and cinematic footage. Tradeoff: enterprise workflow/cost; not always “self-serve.”

Local / open-source (maximum control, GPU setup required) edit

If you want the most control (and don’t mind technical setup), these are popular:

  • Wav2Lip (open source) Classic “lip-sync any video to any audio” pipeline. Lots of community tooling and forks (including higher-fidelity variants). GitHub[7] Nice bonus: there’s a ComfyUI node for Wav2Lip if you like node-based workflows. GitHub[8]
  • Rhubarb Lip Sync (open source, 2D mouth shapes) This generates mouth animation data from audio (commonly for 2D/rigged workflows, not direct photoreal video). GitHub[9]

When these shine: cost, privacy, repeatability, and “knobs” (you can iterate, batch, integrate into pipelines). Tradeoff: you’ll spend time on environment setup, face tracking edge-cases, and quality tuning.

Animation/character pipeline control (if you’re animating a character, not editing live-action) edit

If your “video of someone” is actually a 3D character render or you can move into a character pipeline:

  • Reallusion iClone – AccuLips Focuses on generating and editing lip-sync/viseme timing from imported voice, with more manual control for animation polish. Reallusion[10]

Getting more voice control than Sora (practical workflow) edit

If your pain is “Sora’s voices don’t give me enough control,” the usual solution is:

  1. Make the voice elsewhere (your actor VO, or TTS/voice cloning you control), then
  2. Lip-sync the video to that audio using one of the tools above.

That decouples “video generation” from “voice performance,” and you can iterate the voice (timing, emphasis, emotion, different takes) without redoing everything.

A quick chooser edit

  • I want easiest + good quality: Sync Labs or HeyGen sync.so[11]
  • I’m doing multilingual localization: HeyGen or Rask HeyGen[12]
  • I’m mostly talking-head shots: D-ID D-ID[13]
  • I want max control / local: Wav2Lip (+ ComfyUI node if you want) GitHub[14]
  • I need top-tier “visual dubbing” for film: Flawless TrueSync flawlessai.com[15]

If you tell me what you’re editing most often (talking head vs. full-body, camera movement, resolution, and whether you need it to run locally), I can recommend a specific stack and settings that usually avoid the common artifacts (teeth/mouth jitter, beard edges, occlusions, etc.). Also: only use this on footage you have rights/consent to edit—lip-sync is powerful deepfake-adjacent tech.

References edit

  1. ↑ "Lip-sync video tools". ChatGPT. Retrieved 2026-01-22.
  2. ↑ "sync.so". sync.so. Retrieved 2026-01-22.
  3. ↑ "HeyGen". heygen.com. Retrieved 2026-01-22.
  4. ↑ "Rask". rask.ai. Retrieved 2026-01-22.
  5. ↑ "D-ID". d-id.com. Retrieved 2026-01-22.
  6. ↑ "flawlessai.com". flawlessai.com. Retrieved 2026-01-22.
  7. ↑ "GitHub". github.com. Retrieved 2026-01-22.
  8. ↑ "GitHub". github.com. Retrieved 2026-01-22.
  9. ↑ "GitHub". github.com. Retrieved 2026-01-22.
  10. ↑ "Reallusion". reallusion.com. Retrieved 2026-01-22.
  11. ↑ "sync.so". sync.so. Retrieved 2026-01-22.
  12. ↑ "HeyGen". heygen.com. Retrieved 2026-01-22.
  13. ↑ "D-ID". d-id.com. Retrieved 2026-01-22.
  14. ↑ "GitHub". github.com. Retrieved 2026-01-22.
  15. ↑ "flawlessai.com". flawlessai.com. Retrieved 2026-01-22.
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