Tuplets gives teams a cleaner path from raw audio to usable output. Capture interviews, customer calls, or internal recordings, then turn them into speaker-separated transcripts, privacy-aware text, and structured AI analysis without adding process overhead.
Pick a language, or leave it on Auto-detect for automatic detection.
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MP3, WAV, FLAC, OGG, M4A, AAC, WMA, WEBM, OPUS - up to 1 GB
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Privacy boundary
Product
Teams can start in the browser, then move into the API when they need automated uploads, polling, downloadable results, and structured analysis in their own systems.
Programmable transcription
Use direct uploads or remote URLs, turn on diarization, PII processing, and AI insights, then pull the full transcript JSON with timestamps, speaker labels, and summaries.
Built for compliance
Tuplets is designed for interview libraries, customer calls, internal recordings, and research sessions where privacy, retention controls, and speaker clarity matter from day one.
Operationally predictable
The documentation already defines the base URL, API key model, supported audio formats, rate limits, and clear error fixes so integration work does not turn into guesswork.
Solution
The app can stay approachable for non-technical users while the API and documentation stay strong enough for engineering teams building repeatable workflows around transcription.
We do not send customer audio or transcripts to third-party LLM APIs for processing. Inference runs inside our controlled pipeline, so customers do not need to host or manage models themselves.
Turn long-form conversations into searchable transcripts, speaker-separated notes, summaries, and sentiment signals that teams can review quickly.
Standardize what comes out of every call with PII-aware transcripts, clear timestamps, and structured outputs that can feed review workflows.
Give product teams a clean browser workflow while engineering teams integrate uploads, polling, downloads, and analytics into their own systems.
Documentation-led workflow
Use the web app for quick uploads, then rely on the API docs for authentication, supported formats, rate limits, response payloads, pricing details, and error handling.
01
Upload directly in the app, use browser-direct upload for private files, or point the API to a remote URL on a public host.
02
Choose language handling, speaker diarization, PII processing, and AI insights based on the job.
03
Poll job status, download transcript JSON, and route summaries or sentiment into internal tools.
Why teams switch
Teams switch when they need a simpler upload experience for non-technical users and a documented API that engineering can trust in production.
Fast onboarding
Free account creation with a clean path into transcription.
New users can sign up, upload or link audio, and experience the product before committing deeper.
Developer trust
Clear API rules, realistic examples, and actionable error recovery.
That combination makes the product easier to evaluate, easier to integrate, and easier to trust in production.