Video to Text — Convert Video to a Transcript Online

Upload the video file (MP4, MOV, MKV, WebM, AVI, FLV, or WMV up to 5 GB and 10 hours) to VexaScribe. The audio track is extracted automatically — no manual conversion to MP3 or WAV needed. AI transcription runs at roughly 4–10× real-time, so a 60-minute video finishes in 5–10 minutes. The output is a clean, paragraph-broken transcript with speaker labels (Speaker 1, Speaker 2…) and word-level timestamps. Export as TXT, DOCX, SRT, VTT, or JSON. Start with the free 30-minute trial — no credit card required.

VexaScribe accepts MP4 (the most common, H.264/H.265 codec), MOV (QuickTime, iPhone default), MKV (Matroska), WebM (browser-friendly), AVI (legacy Windows), FLV (legacy Flash), and WMV (Windows Media). Audio formats are also accepted directly: MP3, WAV, M4A, FLAC, OGG, AAC, AIFF, WMA, AMR, OPUS. Maximum file size 5 GB and maximum duration 10 hours per upload. The audio is extracted from the video container by the server — you don't need ffmpeg or any pre-processing tool.

Yes. VexaScribe gives every new account 30 minutes of free video-to-text transcription with all features enabled — speaker labels, 99-language support, timestamps, AI summaries, and full export to TXT, DOCX, SRT, VTT, and JSON. No credit card required. That covers roughly one 25-minute YouTube video, two 15-minute interviews, or six 5-minute clips. After the free tier, paid plans start at $2/month for 200 minutes. Free alternatives without time limits include self-hosted OpenAI Whisper (requires Python + GPU) and YouTube's auto-caption export (English-primary, ~85% accuracy).

Roughly 95% accuracy (5% Word Error Rate) on clean single-speaker explainer video with a treated room and a good mic. Real-world breakdown: studio interviews 93–96%, Zoom or webinar recordings 91–95%, classroom lectures 89–94%, documentary narration 90–94%, vlog or outdoor video with ambient noise 80–88%. Proper nouns — brand names, product names, technical jargon, foreign names — have 20–30% error rates even on otherwise clean audio. Budget 5–10 minutes of editing per video hour to fix proper nouns and split overly long paragraphs before publishing.

5–10 minutes of AI processing for a typical 60-minute video, plus optional 5–10 minutes of light editing for proper nouns. Total end-to-end is 10–20 minutes for production-quality output. AI runs at 4–10× real-time depending on server load and audio quality. For comparison: a professional human transcription service like Rev or Scribie takes 12–48 hours turnaround at $1.25–$2.50 per audio minute ($75–$150 for one hour) — far more expensive and slower unless you specifically need a certified verbatim transcript for legal or broadcast use.

Yes. Speaker diarization is automatic and included on every transcript at no extra cost. The AI tags each speaker as Speaker 1, Speaker 2, Speaker 3, etc., even when speakers overlap briefly. In the built-in editor you can rename speakers to real names (Host, Guest, Sarah, Dr. Patel) and the rename applies across the entire transcript. Works well for two- to ten-speaker conversations like interviews, panel discussions, podcasts, board meetings, and webinars. Accuracy degrades slightly with more than ten distinct speakers in a single recording.

Every transcript includes word-level timestamps by default. The editor shows timestamps at every paragraph break, and clicking a timestamp jumps you to that moment in the audio for verification or quote-checking. Exports preserve timing: TXT and DOCX include sentence-level timestamps in brackets, SRT and VTT are formatted as caption files with frame-accurate timing for video editors, and JSON includes the raw word-by-word timing array for developers building custom interfaces.

Yes. After the video-to-text transcription completes, click Translate in the editor to convert the transcript into any of 133 target languages. Common workflows: an English creator generates the original English transcript, then Spanish + Portuguese + French translations for international audience; a Japanese tutorial creator generates Japanese-source + English-target for global reach. Translation is included on every paid plan with no per-character charges. The translated transcript preserves paragraph breaks and timestamps for use as multilingual subtitles.

Common downstream uses: SEO blog posts (turn a YouTube video into a 1,500-word article), social-media clips (paste timestamps to find the best soundbites), YouTube chapters (export timestamps as chapter markers), course transcripts (give learners a searchable text version), show notes for video podcasts, captions and subtitles (export SRT/VTT), translation into other languages, AI summarization (auto-generated key points and action items on paid plans), legal documentation (court hearings, depositions, witness statements), and accessibility (screen-reader-friendly text version of video content for hearing-impaired viewers).

Video files transit over TLS 1.2+ encryption and are stored encrypted at rest in AWS eu-west-2. VexaScribe does not train AI models on your video or audio content. We do not sell user data. Files can be deleted at any time from your dashboard, and account deletion is self-serve. For sensitive content (legal, medical, internal corporate), you control retention — delete the file as soon as you've downloaded the transcript. Editorial standards and privacy policy are published at /about and /privacy.