AI transcription that understands conversations
Turn audio & video into professional documents with AI
Clea is an AI transcription tool that turns audio and video recordings into speaker-separated, timestamped transcripts — then into summaries, action items and finished PDF or Word documents. Upload a file from any device and it does the rest in minutes.
No credit card required
Drop your audio or video here
MP3, WAV, M4A, MP4, MOV, WEBM and more
What you can upload
Whatever you recorded, on whatever you recorded it
Clea reads the audio track, so the container barely matters: MP3, WAV, M4A, AAC, OGG and FLAC for audio, MP4, MOV, WebM and MKV for video. A voice memo from a phone, a meeting export, a field recording, a lecture capture — all of it arrives the same way, and there is nothing to convert first.
Audio files
MP3, WAV, M4A, AAC, OGG, FLAC and other common audio formats.
Video files
MP4, MOV, WebM, MKV and more — Clea reads the audio track.
Phone recordings
Voice memos from iOS and Android upload straight from your device.
Meeting exports
Recordings downloaded from Zoom, Teams, Meet and similar tools.
Clea works with files, not links. It does not download from YouTube, Instagram, TikTok, X or Facebook — doing so generally conflicts with those platforms' terms of service. If you have the rights to a video, save it to your device and upload it; the transcription is identical.
How it works
Three steps, start to document
There is no setup and no template to choose before you begin. You upload a recording, Clea transcribes it and separates the speakers, and you get a document you can read, edit and export. The processing runs on our servers rather than in your browser, so you can close the tab while it works — a one-hour recording is usually finished in a few minutes.
Upload or paste
Drop an audio or video file from your computer or phone. Up to 2 GB.
Let AI process it
Clea extracts the audio, detects speech, separates speakers and writes the transcript.
Export & understand
Edit the transcript, generate insights, then export a polished PDF or Word document.
Before and after
A recording is data. A document is useful.
The same file, once Clea has read it, separated the speakers and written it up.
Thanks for making the time. I wanted to start with something you said last quarter — that onboarding was the single biggest drag on retention. Is that still where you'd put it?
It is, and honestly it got sharper. We looked at the cohort data in March and about sixty percent of the churn happens in the first two weeks. People sign up, they hit a wall somewhere in setup, and they just quietly stop coming back.
Do you know where the wall is? Or is it different for everyone?
It's more concentrated than I expected. Two thirds of it is the data import step. If a customer gets their data in, they stay. If they don't, nothing else we do matters. So we've stopped trying to improve the whole funnel and we're rebuilding that one screen.
A product interview covering retention and pricing. Daniel identifies onboarding — specifically the data import step — as the dominant cause of churn, with roughly 60% of churn occurring in the first two weeks and two thirds of that traced to a single screen. The team has committed six weeks to rebuilding it against one metric. The conversation then turns to the January move to usage-based pricing, which raised revenue per account by ~18% but doubled support volume until spend caps and bill forecasting shipped.
Features
Everything between a recording and a finished document
Transcription is the first step, not the product. Clea splits the conversation into labelled speaker turns, timestamps every line so clicking a sentence jumps the audio to it, then reads the whole transcript to write a summary, pull out action items and decisions, and mark chapter boundaries. All of it stays editable: rename a speaker once and the change follows through every line and every export.
AI transcription
Accurate speech-to-text across long recordings, with punctuation and formatting applied automatically.
Speaker identification
Clea detects who is speaking and splits the conversation into labelled turns you can rename.
Timestamped transcripts
Every line is anchored to the audio. Click any timestamp to jump straight to that moment.
AI summaries
Turn an hour of conversation into a summary, key points, decisions and action items.
Smart chapters
Long recordings are divided into chapters with their own titles, so you can navigate by topic.
Multi-language
Transcribe in dozens of languages with automatic detection, then translate the result.
Multiple export formats
PDF, Word, TXT, SRT, VTT, CSV, Markdown and JSON, each with its own layout options.
AI document generation
Transform a raw recording into a formatted report, meeting minutes or interview write-up.
Use cases
Built for people whose work runs on conversations
The same recording means different things to different people. A researcher needs verbatim accuracy and reliable speaker attribution; a journalist needs a quotable line and the timestamp that proves it; a team needs the three decisions buried in fifty minutes of discussion. Clea produces all of it from one upload, so nobody has to sit through the recording a second time.
Business meetings
Turn meetings into searchable transcripts, decisions and action items.
Interviews
Interviewer and guest are separated automatically, ready to quote.
Podcasts
Generate full episode transcripts, show notes and chapter markers.
Journalism
Convert recorded interviews into searchable documents in minutes.
Research
Process qualitative interviews and focus groups into analysable text.
Education
Turn lectures into structured study material with summaries and key points.
Content creators
Repurpose videos and podcasts into articles, newsletters and captions.
Legal & professional
Create structured records from recordings you are permitted to make and retain.
Recording laws differ by country and by state, and some conversations require every participant's consent. You are responsible for obtaining that consent and for complying with the rules that apply to you.
Privacy & security
Your conversations stay yours
People upload interviews, medical consultations and board meetings. That deserves a straight answer about what happens to them.
Encrypted in transit and at rest
Uploads travel over TLS and are stored encrypted by our storage provider. Media is only ever read through short-lived signed URLs.
Your projects are yours alone
Access is enforced at the database level with row-level security, not only in the application, so a bug in the UI cannot expose another account's transcript.
Deletion actually deletes
Removing a project removes its media, transcript, insights and generated documents. You can also have source media deleted automatically once transcription finishes.
Clear about processing
Transcription and AI analysis run through named third-party providers. Our data processing page lists who they are and what they receive.
What people say
Words from the workflow
Turned a ninety-minute research interview into a structured, quotable document before I had finished my coffee.
The speaker separation is the part that actually saves me time. Four people on a call and every line is attributed correctly.
I export the same episode as an SRT for the video and a Word document for the show notes. One upload, both jobs done.
Illustrative examples. Clea is newly launched, so these are written to show the kind of work it is for — they are not real customers.
FAQ
Questions people ask first
Short answers to what people ask before their first upload: which file formats work, how speaker detection behaves, which languages are supported, what you can export, and what happens to a recording once it has been processed. If something here is missing, the help centre goes further.
Your conversations contain valuable information.
Turn them into searchable, structured and professional documents with AI.