Free AI Video to Text Converter Online

Drop a file into the upload area above or paste a video link. Hinto extracts the audio, runs it through the speech model, and puts editable text on screen. No account needed to get started.

MP4, MOV, AVI, WebM, and most audio formats like MP3 and WAV work fine. If you do not want to upload a file at all, paste a YouTube, Loom, or Zoom URL and Hinto handles the rest.

Functionally yes - both give you the words that were spoken. The framing differs slightly: a transcript usually keeps every filler word and timestamp, while a text conversion gives you something easier to cut into notes or a document. Hinto gives you both options once the output is on screen.

For a clear recording with one speaker in a quiet room, accuracy is high enough that most people only correct a handful of words. The model struggles most with proper nouns, industry jargon, and audio where multiple voices overlap. A quick scan before you use the output is enough for most cases.

Sessions up to two hours process without issue. Hinto runs the job in the background so you do not have to sit on the page while it works. Come back when the browser tab shows it is done.

Google Speech-to-Text is an API you integrate into code. It is not a tool you open in a browser. Hinto is built for people who want text from a video right now, without writing a script or setting up credentials.

The output is plain text, so it pastes cleanly into Google Docs, Word, Notion, Confluence, or wherever your team writes. If you want a standalone file, export it as a TXT. From there, paste or format it however the situation calls for.

Language detection runs automatically. If the speaker switches languages mid-recording, the model adapts. For recordings in a single non-English language, manually selecting the language from the dropdown before submitting tends to give better results than relying on auto-detect.

Select the problem segment directly in the editor and retype it. Hinto does not lock the output after processing. Most people find that a single pass focused on names, product terms, and numbers catches everything worth fixing.