Convert YouTube speech to text with Speech2Text when you want the words from a video without sitting through the whole recording. The service quickly turns audio from YouTube into a clear, editable transcript so you can read, search, and reuse the content instead of typing it manually.
To convert audio from YouTube to text, simply upload the file or paste the video link into the web interface. Choose the language and, if needed, let the system detect multiple speakers automatically. Start recognition and receive a transcript already broken into sentences and paragraphs, with most of the heavy editing done for you.
YouTube videos often include room echo, fan noise, street sounds, or inconsistent microphone levels. The engine is designed to work with these conditions, cleaning the signal so the final text reflects what was actually said — not the background.
If a clip includes a host, guests, or a panel, the service can detect different voices and mark them separately. This is especially useful when you convert YouTube audio to text for interviews, podcasts, or roundtable discussions and want to see who said what.
Speech2Text supports more than 90 languages and accents, so you can convert audio from YouTube to text for English channels and international content using the same workflow. Terms, names, and technical vocabulary are recognized with high accuracy in supported languages.
Once the YouTube audio has been transcribed, you can correct names, add headings, highlight key fragments, and structure the text for your use case. The transcript is easy to copy into documents, project tools, and reporting templates.
Converting audio from YouTube to text frees up time for analysis, writing, and decision-making. Instead of replaying fragments, you scan the transcript, pull out quotes, and build summaries or subtitles in minutes.
Upload your first video or paste a link, see how quickly the tool produces a transcript, and continue organizing your projects in the dedicated YouTube to Text workspace. For teams and developers, the same recognition engine can also be integrated into your products and internal systems via API.