Whisper Transcribe converts audio and video to searchable text with timestamps, punctuation, and speaker labels. Upload files or stream live sessions, then review highlights and export captions. Custom glossaries guide names and jargon, while language detection routes models. APIs and batch tools integrate with editors and archives so teams standardize transcripts across meetings, research, podcasts, support calls, and training libraries. Diarization labels speakers for meetings, interviews, and panels in context.
Process audio in many languages and receive text aligned to timecodes for words or phrases. Punctuation and casing restore readability. Editors jump to moments that matter and lift quotes with confidence. With time aligned text, teams can cut clips, verify claims, and repurpose content. Accuracy gains compound across libraries, improving search and onboarding for future projects. Punctuation and casing restore readability for search, notes, and captions today.
Detect and label speakers to separate questions, answers, and commentary. Meetings, interviews, and panels become easier to navigate and summarize. Rename speakers and merge segments where needed. With clear attribution, action items attach to the right person, and archives remain useful long after a session, reducing guesswork when drafting notes or training materials later. Timestamps on words let editors cut precisely while keeping message intact here.
Upload term lists for product names, clients, and technical jargon. Pronunciation hints and examples improve recognition. Models learn context from previous runs while respecting privacy. By steering transcription with domain knowledge, teams reduce cleanup and keep terms consistent across departments, which protects brand voice and the reliability of analytics derived from text. APIs stream partial results so notes appear quickly during live sessions easily.
Stream audio for near real time notes in events or support centers. Partial results update as people speak. For long files, resumable uploads and retries protect progress. Webhooks report completion. This flexibility lets organizations serve both fast feedback loops and heavy archival jobs without splitting tools, keeping operations predictable during busy weeks and launches. Batch jobs handle long recordings with retries and resumable uploads reliably.
Export plain text, SRT, and VTT for captions and editors. APIs post transcripts into docs and ticketing. Access roles, regional routing, and retention controls align with policy. Logs track usage and errors for audits. With dependable formats and controls, transcripts flow into publishing and analysis while sensitive data remains protected across teams and vendors involved. Glossaries teach names, brands, and jargon so terms stay consistent across runs.
Researchers, podcasters, support and success teams, educators, journalists, and operations groups that depend on recorded speech; organizations building searchable archives; and collaborators who need diarization, captions, glossaries, live notes, and policy controls to convert conversations into reliable documents, training assets, and insights without juggling multiple disconnected tools. Security options route processing to regions and restrict access with roles now.
Manual note taking loses detail, and scattered transcription tools create inconsistent text. Whisper Transcribe unifies accurate timecoded transcripts, speakers, glossaries, live streaming, exports, and governance. Teams search and quote precisely, automate captions, and keep archives consistent. The result is faster documentation and more trustworthy knowledge across the organization. Exports deliver text, SRT, and VTT for docs, editors, and caption workflows well.
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