LipRead AI

LipRead AI is an AI transcriber tool that turns silent video into editable transcripts by reading lips. LipRead AI transcribes silent or muted video by analysing lip movement instead of audio. Upload a clip, review the auto generated transcript line by line, and export as SRT, VTT, TXT or JSON.

LipRead AI is a visual speech recognition tool that generates transcripts from video where the audio is missing, muted or unusable. Instead of listening to a soundtrack, the model locates faces in the frame, tracks lip movement frame by frame and maps those movements to phonemes, then assembles the result into readable lines of text. The pitch is straightforward: if a mouth is visible, there is something to transcribe, and no microphone is involved at any stage. The workflow is built around a browser workspace rather than a desktop install. Files in MP4, MOV, AVI, WEBM and MKV up to 2 GB are dropped into the upload area, analysis runs, and the transcript appears alongside the playing video with the active line highlighted. Every line is clickable, so a reviewer can correct a misread word, add a note or fix timing, and edits save on their own. Finished transcripts export as SRT, VTT, TXT or JSON, which covers most subtitle and caption pipelines as well as plain data handoff. Practical use cases cluster around footage where sound failed or never existed. Archivists working with silent film, editors salvaging a take with a dead lav mic, researchers studying mouth shapes, and accessibility teams captioning clips shot in noisy environments all fit the intended audience. The tool also lists text to speech and multi language translation, so a transcribed clip can be pushed toward a dubbed or translated version without leaving the product. The obvious comparison is conventional speech to text, which is generally more accurate because audio carries far more signal than lip shape does. LipRead occupies the narrower slot where audio is absent: treat its output as a strong first draft for human review rather than a finished caption file. Monthly plans are credit based at one credit per second of footage, and one time credit packs are offered for occasional jobs.