Speaker recognition, up to 8 voices
Voice-fingerprinting separates and labels each turn — Speaker 1, Speaker 2 become real names with one click. Perfect for interviews, podcasts, and panels.
Scribix turns video and audio files into accurate, speaker-labeled text in seconds. Upload an MP4, MOV, WebM, AVI, MP3, WAV, or M4A file and get a full transcript with word-level timestamps in 200+ languages. Free with Google sign-in, files up to 1 GB.
Drop a video or audio file, or click to browse.
Max 1GB · MP4 · MOV · WEBM · AVI · MKV · MP3 · WAV · M4A
Working with audio-only recordings? Open the dedicated audio-to-text page.
Trusted by video creators, journalists, and podcasters worldwide
A video-to-text converter transcribes the spoken audio inside a video into written text. Modern AI speech models identify words, separate speakers, and attach timestamps — producing an editable transcript in minutes instead of hours. Scribix runs the same class of speech model that powers professional transcription suites — sign in with Google to get started and produce output clean enough to publish.
Voice-fingerprinting separates and labels each turn — Speaker 1, Speaker 2 become real names with one click. Perfect for interviews, podcasts, and panels.
From Mandarin to Maltese with code-switching support. The model adapts mid-recording when speakers swap languages.
Click any word to play that exact moment. Timestamps export with SRT and VTT subtitles ready for video players.
TXT, DOCX, SRT, VTT, and CSV — covers documents, captions, spreadsheets, and review workflows without extra conversion.
99.9% on clear audio in primary languages, measured on a 50-hour benchmark of TED talks, podcasts, and interviews. Background noise and accents handled gracefully.
TLS 1.3 in transit, AES-256 at rest, processing in encrypted memory. SOC 2-aligned, GDPR-compliant. We never train models on your audio.
Drag and drop an MP4, MOV, AVI, MKV, WebM, MP3, WAV, or M4A file up to 1 GB. No format conversion needed — Scribix handles every common media container.
Our model auto-detects the language (200+ supported), separates up to 8 speakers, and attaches timestamps to every word. A 1-hour video transcribes in about 90 seconds.
Click any word to play that exact moment. Edit inline, then download as TXT, DOCX, SRT, VTT, or CSV — or copy the full transcript into your editor.
From creators repurposing 90 minutes of footage into shorts, to journalists quoting 2-hour interviews accurately — video-to-text is how recorded conversation becomes published work. Scribix is the workhorse behind it.
Generate captions for accessibility, repurpose long videos into blog posts, build searchable episode archives. Word-level timestamps make it trivial to extract viral clips with [12:04 – 12:38] precision.
Convert each episode into show notes, blog content, and SEO-indexed transcripts — the difference between getting found on Google and not. Speaker labels arrive ready to publish.
Transcribe a 90-minute interview while you walk to the next one. Speaker labels mean you can quote sources accurately without re-listening — quote-ready text in a fraction of the time.
Run qualitative coding on focus groups, lectures, and field recordings without paying $1.50/min for human transcription. Tag themes, search every word, export to Dovetail or Notion.
Turn a 2-hour lecture into searchable notes. Mark a confusing moment, click the word, hear it again. Try it free, then a single Starter month covers an entire semester of lectures.
First-pass transcripts of depositions, board meetings, and compliance interviews — then have a human verify the parts that matter. Time-coded transcripts and an auditable processing chain. SOC 2-aligned.
We benchmark monthly against the leading video-to-text tools on a 200-hour test set spanning 12 languages, 48 speakers, and 4 audio environments — studio, phone, conference, and outdoor.
| Feature | Scribix | Otter | Rev | Whisper.cpp |
|---|---|---|---|---|
| Free trial | 45 min one-time | 300 / mo | 45 min trial | Unlimited |
| File size limit | 1 GB | 1.1 GB | 2 GB | Local |
| Languages supported | 200+ | 30+ | 38 | 99 |
| Speaker diarization | ||||
| Word-level timestamps | ||||
| Export formats | 7 | 4 | 5 | 1 |
| Files deleted after | 7 days | 30 days+ | 30 days+ | Self-host |
| Pricing — 100 hrs | $12 | $30 | $150 | Compute only |
“I produce a weekly video podcast with three guests. Scribix turns three hours of overlapping audio into something I can paste straight into my CMS. The speaker labels alone save me a full afternoon.”
“We had a court case where we needed time-coded transcripts of 14 hours of testimony video. Scribix delivered cleaner output than the certified service we'd been paying $4/min for. Wild.”
“I record every fieldwork interview in Bahasa with code-switched English on video. Other tools stumble. Scribix transcribes the whole thing without me touching a language setting.”
Can't find what you're looking for? Email hello@scribix.io and a real person responds within a working day.
Yes. The free trial only needs a Google sign-in — no credit card. You get 45 minutes of transcription to try the quality before you decide. Paid plans unlock longer files, priority queue, team libraries, and longer file retention.
MP4, MOV, AVI, MKV, and WebM up to 1 GB each. Audio-only files (MP3, WAV, M4A) are also supported.
99.9% on clear audio in primary languages, measured against a 50-hour benchmark of TED talks, podcasts, and interviews. Accuracy drops slightly with heavy accents, background music, or low-bitrate audio — but speaker labels and word-level timestamps make corrections quick.
200+, with automatic language detection. The model handles code-switching (English ↔ Spanish, English ↔ Mandarin) within the same recording. No need to pre-select a primary language.
Yes. Voice-fingerprinting identifies up to 8 distinct speakers and labels every line accordingly. You can rename Speaker 1, Speaker 2, etc. to actual names after transcription, and the model remembers voices across recordings.
Around 1 minute of compute time per hour of video for clear-audio MP4s. A 30-minute meeting takes about 45 seconds.
Files are uploaded over TLS 1.3, processed in encrypted memory, and deleted within 24 hours. We don't train models on user audio. SOC 2-aligned infrastructure, GDPR-compliant data handling, and EU + US regional processing options.
Five formats: TXT (plain), DOCX (Word), SRT (subtitles), VTT (web subtitles), and CSV (spreadsheet-friendly). Click-to-edit inline before exporting.
Yes — but for an audio-first workflow, our dedicated audio-to-text tool is purpose-built for that intent. Same engine, same accuracy, audio-tuned UI.
Try it free with a Google sign-in — 45 minutes, no credit card. Your first transcript appears before you can finish your coffee.