Transcribe audio files to text

Transform Audio Into Searchable Text

Audio transcription converts spoken words—from interviews, meetings, podcasts, and lectures—into searchable, quotable text documents. This process enables your voice to reach wider audiences by making every spoken word accessible, comprehensible, and repurposable in seconds.

Sonix is the world's leading AI-powered transcription platform, empowering individuals, content creators, and businesses to convert audio or video files into written transcription with industry-leading accuracy. Whether you're a journalist capturing interviews, a researcher conducting qualitative studies, or a content creator building your library, transcription transforms ephemeral audio into permanent, searchable documentation.

Enterprise Security & Data Protection

Security is not just a buzzword—we go the extra mile to ensure your content remains confidential. Sonix uses AES-256 encryption to protect our database and the data within your account. All transfers use SSL encryption and comprehensive Transport Layer Security (TLS) for data in transit.

We don't sell, rent, or share your information. Our employees cannot access any transcription or media files without your express permission. You can delete data from your account at any time—no questions asked. Two-factor authentication provides an additional layer of protection for your files and account access.

From Recording to Finished Transcript

The workflow that experienced teams settle on has five steps, and only two of them involve you. Upload the recording — drag it into the browser, or pull it in automatically from Zoom, Dropbox, or Google Drive. Sonix transcribes it, typically in about 5–6 minutes for an hour of audio, and emails you when it's done. Then comes the step that separates a good transcript from a usable one: a quick review pass in the synced editor, where clicking any word plays the audio behind it, so you verify exactly the sentences that matter.

The last two steps are organizational. File the transcript into a folder with the right team permissions, so the interview archive or meeting record is findable next quarter, not just this week. Then export in the format the work needs — DOCX for a colleague, PDF for the record, SRT for a video, or plain text for anything else. The recording holds the source of truth; the workflow turns it into something your team can actually use.

Meetings, Calls, and Multi-Speaker Audio

Multi-speaker recordings are where automatic transcription earns its keep — and where recording habits matter most. Sonix detects and labels each speaker automatically, so a rambling hour of discussion becomes an attributed record: who raised the risk, who owned the action item, who actually agreed. Searching last month's meetings for a decision beats asking the room to remember it.

The main enemy is crosstalk. When two people talk over each other, no engine — human or AI — can fully untangle the overlap, so the cheapest accuracy gain in any meeting is a habit, not a tool: one voice at a time. A centered conference mic beats a laptop's built-in microphone, and for remote calls, recording each side at the source produces far cleaner audio than a speakerphone in a big room.

Long-Form Audio: Podcasts, Lectures, and Archives

Length is not the obstacle it used to be. A three-hour recording session doesn't take three times the effort — it processes the same way and comes back searchable end to end. For podcasters, that means show notes, episode summaries, and quotable excerpts come from skimming text rather than re-listening; word-level timestamps hand you the exact moment for every pull-quote and chapter marker.

The same mechanics turn lecture series, conference talks, and oral-history collections into archives you can actually mine. A semester of recorded lectures becomes revision notes you can search by term. A shelf of research interviews becomes a corpus you can query across, not a stack of files you dread reopening. Transcription is what turns accumulated audio from storage cost into working material.

Dictation, Voice Memos, and Single-Speaker Notes

Single-speaker audio is the easiest case for AI transcription — no crosstalk, one consistent voice — which makes it the fastest habit to build. Professionals who think out loud dictate drafts, field notes, and to-dos into their phone and let the transcript be the document. The one caveat is the recorder app itself: phone apps often compress aggressively to save space, and that compression costs accuracy. Set the recording quality to its highest setting; storage is cheap and re-recording a lost thought is not.

If your notes contain sensitive material — patient information, client details — the same security posture applies as everywhere else on Sonix: SOC 2 Type 2 audited, encrypted in transit and at rest, with HIPAA support available on Enterprise plans.

Plugging Transcription Into Your Stack

Once transcription becomes routine, uploading by hand becomes the bottleneck. Sonix connects to the places recordings already live — Zoom, Microsoft Teams, Dropbox, Google Drive, Zapier and more — so new recordings can flow in without a manual step. On the way out, transcripts export to 30+ formats, from DOCX and PDF to SRT, VTT, and NVivo for qualitative research.

Engineering teams can go further with the REST API: submit files programmatically, collect finished transcripts, and build transcription into a product or an internal pipeline using the same engine that powers the editor. Whether the volume is one interview a week or a thousand calls a day, the workflow is the same — the automation just decides who does the clicking.

Transcribe Selectively or Transcribe Everything?

Teams usually start by transcribing selectively — the important interview, the board meeting, the episode going live this week. At $10 per audio hour pay-as-you-go, that's the right way to begin: no commitment, pay for exactly what you use. The shift comes when people notice how often they reach for a transcript that doesn't exist. The meeting nobody flagged as important turns out to hold the decision everyone is arguing about a month later.

That's the point where transcribe-everything starts to pay. Subscription plans drop the effective rate to $5 per hour, and at that price the calculus flips: the cost of transcribing a recording nobody re-reads is small, while the cost of NOT having the one transcript you need is an afternoon of re-listening — or a decision reconstructed from memory. If your team records as a matter of course, budget transcription the same way: as a default, not an exception.