YouTube transcriber support
VidTextify is a YouTube transcriber and YouTube transcript generator. Paste a public YouTube video URL and it opens a clean transcript with timestamps, search, copy, export, share, synced playback, and AI/MCP handoff.
VidTextify accepts common public YouTube inputs including watch URLs, youtu.be links, mobile links, Shorts, embeds, live URLs, playlists, channel URLs, handles, and raw 11-character video IDs.
VidTextify can only generate a transcript when a supported public caption track is available. If a video has no captions, restricted captions, removed content, or blocked caption data, the app shows a clear subtitle-unavailable state.
Transcript accuracy depends on the source captions. Creator-provided captions are usually better than automatic captions, but any important quote or claim should still be checked against the source video timestamp.
VidTextify exports TXT, SRT, VTT, CSV, JSON, and Markdown. Downloads follow the timestamp mode visible in the workspace, including paragraph text, standard timestamps, 30-second chunks, and 60-second chunks.
The panel controls which metadata fields appear in exported transcript files, such as title, author, views, likes, dislikes, comments, date, duration, channel, and source URL. File names keep the video title by default.
Yes. The Share action creates a temporary transcript link and copies it to your clipboard. The shared page reopens the transcript package needed for review and expires after the configured share period.
Completed transcripts may be cached to improve reliability and avoid repeated upstream requests. Share links store the transcript package needed to reopen the shared view until the temporary link expires.
Yes. Paste a public playlist, channel, or handle to open the collection browser. VidTextify lists videos, warms transcript availability progressively, marks videos without captions, and lets you export ready transcripts.
AI handoff copies a prepared transcript prompt for ChatGPT, Claude, or Gemini. MCP exposes structured tools so compatible agents can fetch transcripts, analyze collections, copy, export, share, and continue transcript workflows programmatically.
Keep source attribution, export only the metadata you need, respect creator rights, and use collection processing progressively. Large automated jobs should be paced so the system and upstream sources remain healthy.
For support, product feedback, privacy questions, or deployment concerns, email getaevum@gmail.com.