Video to Text — Transcribe Any Video Free (MP4, MOV, WEBM)

Video Transcript Generator — How It Works

Video Transcript Generator vs Manual Transcription

For most publishing and content workflows the AI generator is the correct pick — the accuracy gap is small enough that a 5-10 minute editing pass closes it. Human transcription only wins when a stamp of certification is legally required.

Supported Video Formats

Every format below works with the tool at the top of this page. Video resolution has no effect on transcript accuracy — the audio track is what the engine reads. Rule of thumb: if the file plays in VLC or QuickTime, it transcribes.

MP4 Transcript Notes

MP4 is the universal video container — H.264 or H.265 video codec with AAC or Opus audio. TikTok, Instagram, YouTube exports, iPhone recordings (iOS 11+), Android recordings, and most screen recorders all output MP4. Video resolution doesn't affect transcription accuracy — a 4K MP4 with poor mic audio transcribes worse than a 720p MP4 with a lavalier close to the speaker. For MP4-specific workflows including iPhone captures and screen recordings, see our MP4 to text guide.

MOV Transcript Notes

MOV is Apple's QuickTime container — used by older iPhones (iOS 10 and below), Mac screen captures (Cmd+Shift+5), Final Cut Pro exports, and DaVinci Resolve ProRes output. The underlying codec is often the same H.264 as MP4, just wrapped in a QuickTime header. MOV files transcribe identically to MP4 — no special handling needed on this page's tool. If your MOV file plays in QuickTime, it transcribes.

MKV Transcript Notes

MKV (Matroska) is the open-source container of choice for OBS Studio screen recordings, high-quality video archives, and downloaded video files with multiple audio tracks. When an MKV has multiple audio tracks (some Zoom exports do), our tool uses the first track by default — re-process on a different track from the editor if the first track is silent or wrong-language. MKV files can hold FLAC or Opus audio, both of which transcribe with no accuracy penalty.

Audio-only files also work: MP3, M4A, WAV, AAC, FLAC, OGG, OPUS. For audio-specific guides see MP3 to text, M4A to text, WAV to text, and OGG to text.

How to Transcribe a Video in 4 Steps

The workflow is the same for a 15-second TikTok and a 3-hour lecture recording.

1. 1

   Drop the video into the uploader

   Drag your MP4, MOV, WEBM, MKV, or AVI file directly into the tool zone at the top of this page — no pre-conversion, no ffmpeg, no audio extraction. Anonymous previews accept files up to 200 MB.

2. 2

   Let language auto-detection do its job

   99 languages, auto-detected from the first speech in the audio track. Override manually only if the video opens with music or long silence. Non-Latin scripts (Chinese, Japanese, Arabic, Hindi) and right-to-left languages (Arabic, Hebrew) render cleanly in every export format.

3. 3

   Review speakers and fix proper nouns

   Automatic speaker diarization labels up to 8 distinct voices. Spot-check names, companies, and product SKUs — proper nouns are what AI gets wrong most (20-30% error rate even on clean audio). The editor's search-and-replace fixes all instances of a name in one pass.

4. 4

   Export in the format you actually need

   TXT or DOCX for a transcript document. SRT or VTT for subtitle files (YouTube, Premiere Pro, Final Cut, DaVinci Resolve). JSON with word-level timestamps for custom video editors and developer pipelines. The same processed file gives you every format — no re-upload needed.

Sample Transcript Output

Every transcript includes segment-level timestamps and automatic speaker labels. Word-level timestamps are available on paid plans. Below is an anonymized excerpt of what you'll see in the editor and in the exported TXT / DOCX.

[00:00:03] Speaker 1: The thing about video transcription
[00:00:06] Speaker 1: is that most people don't realize it's just
[00:00:09] Speaker 1: the audio track underneath.
[00:00:12] Speaker 2: Right — the container format doesn't matter.
[00:00:15] Speaker 2: MP4, MOV, MKV are all just wrappers.
[00:00:19] Speaker 1: Exactly. The AI only sees the audio.
[00:00:22] Speaker 1: A 4K video with bad mic audio
[00:00:25] Speaker 1: transcribes worse than a 480p video with a good mic.

Prefer paragraphs without timestamps or speaker labels? Toggle them off before export — the DOCX and TXT outputs can be paragraph-only for blog posts and articles. SRT and VTT always preserve timing (subtitle formats require it). JSON keeps the raw word-level timing array for developers building custom video editors or search interfaces.

How Accurate Is AI Video Transcription?

Real-world accuracy varies dramatically by content type. The ranges below are approximate and align with published third-party evaluations on the Hugging Face Open ASR Leaderboard.

Proper nouns — brand names, product SKUs, technical jargon, foreign names — miss more often than regular vocabulary (20-30% error rate even on clean audio). Full accuracy methodology and per-model comparison on our Whisper accuracy analysis.

99 Languages + Auto-Detection: The Honest Version

The language dropdown pre-selects based on your browser locale. A Turkish speaker on a Turkish browser sees Turkish selected by default; a Portuguese speaker sees Portuguese; a Chinese speaker sees Mandarin. This is deliberate, not cosmetic — it fixes a bug that affects most third-party transcript tools built on Supadata's caption API.

The bug: when a video has multiple auto-generated caption tracks (TikTok and Instagram videos often have three or four — Vietnamese, Indonesian, English, plus the original language), a tool that asks the caption API for “auto” can get a random language back. That's where the notorious “why is my English video's transcript in Spanish” complaint comes from. Pre-selecting the user's actual browser language cuts the miss rate significantly.

All 99 Whisper Large-v3 languages are supported. Non-Latin scripts render cleanly in the editor and every export format. Right-to-left scripts preserve reading direction in DOCX and TXT. Auto-detection doesn't work perfectly on very short clips (under 3 seconds) — for a 5-second Reel, override manually if needed.

For translation, VexaScribe supports 130+ target languages — transcribe in the source language, then translate the transcript in one click from the editor. For dedicated video translation workflows see video translator.

Is It Really Free? What You Get Before Signup

Free alternatives without any signup include YouTube's built-in transcript (English-primary, ~65% accuracy, YouTube-only) and self-hosted OpenAI Whisper (Python + GPU required, free forever). See free transcription options for the honest comparison.

5 Methods to Create a Transcript from a Video

This page's tool is one of five ways to get from video to text. Honest comparison of when each makes sense:

When to Reach for Another Tool (Honest)

The tool at the top of this page fits most video-transcription jobs. Four scenarios where a different tool is a better fit:

1. 1.HappyScribe — team-collaboration for podcasters and video producers

   Best for teams needing shared transcription workflows, per-project libraries, and human-review passes on top of the AI output. Higher per-minute cost than VexaScribe but bundles the collaboration UX. Fits 2+ person editorial teams.

2. 2.VexaScribe — best free preview + 30-min free tier

   Anonymous 5-minute preview with no signup, then 30 minutes free on signup, then $2/month. Speechmatics Melia-1 primary engine with Whisper Large-v3 fallback. Best for one-off video transcription, creators, and researchers.

3. 3.Otter.ai — best for live meeting recording

   Purpose-built for live Zoom, Teams, and Google Meet meetings with a bot participant that joins the call and transcribes in real time. For finished video files that you already downloaded, generic tools beat Otter on price and format flexibility.

4. 4.Rev.com — best for certified verbatim (human review)

   Human transcription at $1.50-$2.50 per audio-minute with 12-48 hour turnaround. Only worth the cost when you need certified verbatim for legal filings, ADA-compliant broadcast captions, or other stamp-of-certification use cases. AI-first tools cover everything else at 100-500× lower cost.

For SRT files specifically, our SRT generator is purpose-built with subtitle-specific export. For batch upload of many videos at once, see bulk transcription. For a full 14-model API comparison see our transcription API comparison.

Transcript vs Subtitles vs Captions: What's the Difference?

These three words get used interchangeably, but they solve different problems. If you're producing a video and someone hands you a “transcript,” make sure it's the thing you actually need — the file format, timing, and viewer expectations differ.

VexaScribe produces all three formats from a single upload: a plain transcript (TXT/DOCX), timed subtitles (SRT/VTT), and captions if you add non-speech cues in the editor. One processing, every format — see the export options after your preview finishes.

What Is Video to Text?

The tool itself hasn't really changed in the past two years — Whisper Large-v3, Speechmatics Melia-1, and a handful of commercial APIs deliver similar accuracy on similar workloads. What DID change is that people found half a dozen different names for the same job.

Methodology & Sources

Accuracy claims

Content-type accuracy ranges on this page are approximate. Whisper Large-v3 baseline accuracy is consistent with published results on the Hugging Face Open ASR Leaderboard. See our Whisper accuracy analysis for the full third-party picture. First-party benchmark figures previously cited here were withdrawn on August 25, 2026 and have been removed.

Engine used on this page

VexaScribe runs Speechmatics Melia-1 as the primary transcription engine. Whisper Large-v3 serves as fallback for languages Melia-1 doesn't cover. Language auto-detection uses the user's browser locale to avoid the Supadata multi-caption-track ambiguity.

Pricing and product limits

Anonymous 200 MB file cap and 5-minute preview truncation verified against production configuration (2026-08-19). Free tier of 30 minutes/month verified against user creation defaults. Translation support for 130+ target languages via Google Translate backing. Paid plans start at $2/month for 200 minutes — see /pricing for the current tier list.

Editorial standards

We don't claim “100% accuracy” or “free forever.” The anonymous preview is free with a 5-minute cap, the free account has a monthly cap, paid plans have volume tiers. Competitor claims in the “when to reach for another tool” section are as of 2026-08-19 vendor documentation. Full editorial policy at /about/editorial-standards.