Transcribe audio and video files into accurate text with timestamps
Powered by OpenAI Whisper — one of the most accurate transcription models available — our Speech to Text tool converts audio and video files into clean, readable transcripts with optional language detection and timestamped segments.
Transcribe audio and video files into accurate text with timestamps
OpenAI Whisper achieves near-human transcription accuracy across accents, background noise, and varied recording quality.
Auto-detect the spoken language or specify English, Hindi, Spanish, French, German, Chinese, Japanese, Arabic, and many more.
Get the full transcript broken into time-coded segments — ideal for creating subtitles, searching recordings, or building highlights.
Upload MP3, MP4, WAV, M4A, or WEBM files up to 25 MB. Both audio-only and video files work equally well.
Drag and drop or browse for an audio/video file up to 25 MB. Supported formats: MP3, MP4, WAV, M4A, WEBM.
Choose auto-detect or specify the spoken language to improve transcription speed and accuracy.
Receive a full transcript plus timestamped segments. Copy the transcript or individual sections for your workflow.
Journalists upload recorded interviews and receive an accurate timestamped transcript in minutes — eliminating hours of manual transcription before writing their story.
Podcasters transcribe each episode to generate show notes, pull memorable quotes for social media, and improve SEO by publishing a full text transcript alongside the audio.
Teams that record standups and planning sessions upload the audio to get a clean text record — making it easy to search past discussions and share outcomes with absent team members.
Content creators transcribe their YouTube videos or webinars to repurpose the spoken content into blog posts, email newsletters, and social media threads without rewriting from scratch.
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