VideoText
Turn any video into transcript, summary & chapters — Fast
Most transcription tools stop at raw text.
That’s where the real work actually begins.
VideoText turns any video or audio into publish-ready content in minutes — not hours.
Upload a file or paste a URL and get:
- Clean, structured transcript (with speakers + timestamps)
- Subtitles (SRT/VTT) ready to use
- AI summaries and chapters
- Translations in 70+ languages
- Exportable formats for editing, publishing, or clients
Built for creators, editors, and agencies who waste time cleaning transcripts after recording.
Processes long, messy files fast — without storing your data.
Features
- Transcribe long videos in minutes (not hours)
- Youtube URL to trancript
- Speaker diarization with timestamps
- Clean, structured transcripts (not raw dumps)
- Auto subtitles (SRT, VTT) ready for upload
- AI summaries + chapters instantly generated
- Translate subtitles into 70+ languages
- Batch upload multiple files
- Export to TXT, DOCX, SRT, VTT
- Shareable transcript links
- Zero data retention (files deleted after processing)
Use Cases
- Turn YouTube videos into blog posts or summaries
- Generate subtitles for reels, shorts, and podcasts
- Help freelancers deliver transcripts faster to clients
- Convert meetings, interviews, and calls into structured notes
- Repurpose long-form content into social media posts
- Translate content for global audiences
- Speed up post-production workflows for editors
- Students: convert lectures into clean notes + summaries
- Journalists: transcribe interviews with speakers + timestamps
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Comments
Most transcription tools solve the easy part — converting audio to text. The real pain starts after: cleaning, formatting, creating subtitles, summaries, and usable outputs. VideoText was built to remove that entire post-processing step. In testing, a messy 1-hour video turned into a clean transcript, Speaker labels, subtitles, translation, chapters and structured output in 4 minutes - all in one go. Something that normally takes hours manually. Still early and actively improving based on real workflows and feedback If you’ve used tools like Descript or Otter, I’d genuinely like to know where this breaks for you.
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Comments
Most transcription tools solve the easy part — converting audio to text. The real pain starts after: cleaning, formatting, creating subtitles, summaries, and usable outputs. VideoText was built to remove that entire post-processing step. In testing, a messy 1-hour video turned into a clean transcript, Speaker labels, subtitles, translation, chapters and structured output in 4 minutes - all in one go. Something that normally takes hours manually. Still early and actively improving based on real workflows and feedback If you’ve used tools like Descript or Otter, I’d genuinely like to know where this breaks for you.
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