About TranscribeAudio
TranscribeAudio converts audio and video into searchable text using AI speech-to-text (ASR), producing timestamped transcripts with speaker labels.Upload files, paste YouTube URLs, or drag-and-drop common audio and video formats (up to 250 MB) to generate transcripts in 100+ languages.
The service includes speaker detection, separate-speaker transcripts, editable output, and subtitle exports (SRT/captions).Built-in tools summarize transcripts, create outlines or mind maps, translate text, and enable AI chat to query content.
Searchable, timeline-linked transcripts help teams, researchers, podcasters, students, and content creators locate key moments and verify decisions without replaying entire recordings.Browser-based workflows work on desktop and mobile, retain transcription history with manual deletion, and support exports to text, document, subtitle, and report formats for meeting notes, interviews, lectures, and podcast production.
Key Features
Use Cases
Who is it for?
The service includes speaker detection, separate-speaker transcripts, editable output, and subtitle exports (SRT/captions).Built-in tools summarize transcripts, create outlines or mind maps, translate text, and enable AI chat to query content.
Searchable, timeline-linked transcripts help teams, researchers, podcasters, students, and content creators locate key moments and verify decisions without replaying entire recordings.Browser-based workflows work on desktop and mobile, retain transcription history with manual deletion, and support exports to text, document, subtitle, and report formats for meeting notes, interviews, lectures, and podcast production.
Key Features
- AI speech-to-text transcription with timestamps and speaker labels
- Multiple input methods: file upload, YouTube URL paste, and drag-and-drop of common audio/video formats
- Multilingual transcription and text translation
- Built-in transcript tools: summarization, outline/mind-map generation, and AI chat for querying content
- Editable export and subtitle support: export to text, document, SRT/captions, and report formats
Use Cases
- Transcribe interviews, podcasts or client calls using TranscribeAudio into timestamped, speaker-labeled transcripts from uploads or YouTube URLs, export SRT subtitles and searchable timelines to quickly pull quotes and create show notes
- Convert recorded lectures, webinars and multilingual training sessions with TranscribeAudio into editable, timestamped transcripts and translated outlines, then use the AI chat query and concise summaries to build study guides and on-demand microlearning
- Generate accurate YouTube transcripts and multilingual captions with TranscribeAudio, produce SEO-friendly summaries and outlines for video descriptions, and use timeline search plus subtitle exports to repurpose clips for social and accessibility
Who is it for?
- Content creators
- Podcast creators
- Research analysts
- Student learners
- Team members
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