Generate TED Talk transcripts free for study, research and note-taking. AI transcription with timestamps and multi-format export.
Manual translation, hired voice actors, days of waiting. Creators and teams lose time and money on every single video.
Skip the old workflowHow do I get a clean transcript when the TED speaker mumbles, pauses, or switches languages mid-sentence?
Why does my auto-transcript miss speaker names and misplace timestamps for fast-paced Q&A segments?
What if the talk includes technical terms, foreign phrases, or audience laughter — and the tool treats them as noise?
Upload, pick languages, and let the AI handle the rest. No software to install.
A few clicks, that is all.
A few clicks, that is all.
A few clicks, that is all.
A few clicks, that is all.
I'm an English teacher who uses TED Talks in class every week. For years I copied official transcripts from the TED site — but they only exist for popular talks, and sometimes the wording differs from what the speaker actually says. This tool changed my prep: I paste any TED YouTube link and get an exact transcript of what was said, with timestamps. Now I build cloze tests and vocabulary lists straight from real speech. Prep that took an evening now takes ten minutes.
Transcribes speech accurately even with TED-style pacing, overlapping applause, and mixed-language interjections.
You don’t need to declare the source language in advance — system detects it automatically from the audio.
SRT and VTT files include precise segment timing aligned to natural pauses and speaker shifts in talks.
TXT output preserves original phrasing and emphasis without forced grammar correction or summarization.
Yes — our ASR model handles diverse accents and speech patterns common in global TED Talks. Output is a raw transcript in TXT / SRT / VTT; human review is recommended for final use.
Yes — the system detects language switches within the audio and transcribes each segment in its original language. No manual segmentation needed before upload.
Processing time depends on file size and server load, but most clips finish within minutes. You’ll see progress in your browser, and the result exports as TXT / SRT / VTT.
The system focuses on speech and generally omits non-speech sounds. Occasional laughter or sharp interjections may appear as [laughter] or [applause] in TXT / SRT / VTT output.
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