Security & Privacy

Exactly what happens to your audio and transcripts at every step. No marketing fluff — just how it actually works.

Three Levels of Privacy

Standard

Every user, every plan — including free
  • HTTPS (TLS 1.3) for all data in transit
  • Audio deleted immediately after processing
  • Transcripts stored in our database
  • We can read stored transcripts
  • Data never sold or used for training
  • Delete your data anytime

Private Transcript

Pro+ Available on Pro and Business plans
  • Everything in Standard, plus:
  • Transcript encrypted in your browser (AES-256-GCM) before saving
  • We store only encrypted data — we cannot read it
  • Key derived from your password, never sent to us
  • ⚠ Audio is still processed on our servers during transcription

Private Cloud / Self-Hosted

Full isolation — from $99/mo
  • Audio never leaves your infrastructure
  • Transcription runs on your GPU
  • No data sent to STT.ai servers
  • Air-gapped support available
  • True end-to-end privacy

What Actually Happens to Your Data

A transparent, step-by-step breakdown of how your audio and transcript are handled.

Standard (all users)
1
You upload audio or record live
Your file is sent over HTTPS (TLS 1.3) to our GPU server for transcription.
2
Audio is processed in memory
Our AI models transcribe your audio on the GPU. The audio is held in memory during processing — never written to disk — and deleted from memory immediately after.
3
Transcript is stored in our database
The text transcript, timestamps, and speaker labels are saved so you can access them later. We can read this data (this is how search, AI summaries, and sharing work).
4
You can delete everything anytime
Delete individual transcripts or your entire account from Privacy Settings. Deletion is permanent and immediate.
With Private Transcript enabled

Steps 1-2 are the same — your audio must be processed on our servers to generate the transcript. The difference is what happens next:

3
Transcript is encrypted in your browser before saving
After transcription, the result is returned to your browser. Your browser encrypts it with AES-256-GCM using a key derived from your password (PBKDF2, 100K iterations). The encrypted blob is then sent to our servers for storage. We never see or store the encryption key.
4
We store only encrypted data
Our database contains only the encrypted blob. We cannot decrypt it. If our database were breached, your transcripts would be unreadable.
Important: Private transcript protects the stored transcript. During the transcription process itself, your audio is processed on our servers in order to generate the text. If your threat model requires that audio never touches third-party servers, consider Private Cloud or Self-Hosted.

What We Can and Can't See

We CANNOT see (with Private Transcript)
  • Your stored transcript text
  • Speaker names or labels (stored)
  • Timestamps or word-level data (stored)
  • Your encryption key or password
We CAN see (even with Private Transcript)
  • Your audio during processing (deleted after)
  • File name, size, duration (metadata)
  • Language detected, model used
  • Timestamp of transcription
  • Your account info and billing

Technical Details

Encryption algorithmAES-256-GCM (authenticated encryption)
Key derivationPBKDF2 with SHA-256, 100,000 iterations
IV (nonce)Random 12 bytes per encryption (never reused)
Key storageNever stored — derived from password on each session
Transport encryptionTLS 1.3 (HTTPS) + HSTS (1 year, preload)
Audio retentionProcessed in memory, never written to disk, deleted immediately
ImplementationWeb Crypto API (browser-native, no external libraries)
Source codegithub.com/sttaigit/stt-encryption (MIT license)

Private Transcript Trade-offs

Private transcript is opt-in because encrypting the stored transcript limits some features:

Works with encryption
  • Viewing your transcripts
  • Exporting (TXT, SRT, VTT, etc.)
  • Downloading
  • Editing (decrypted in browser)
Not available with encryption
  • Server-side search across transcripts
  • AI summaries and chat (server can't read data)
  • Public sharing via link
  • Team workspace collaboration

Need Audio to Never Leave Your Servers?

Private transcript protects the transcript at rest, but audio still passes through our GPU during processing. If your compliance or security requirements demand that audio never touches third-party infrastructure, these are your options:

Private Cloud

$499/mo

Dedicated GPU server managed by us. Your audio never leaves your isolated environment.

  • Dedicated A100 GPU
  • Isolated — no shared infrastructure
  • Audio processed on your hardware only
  • Full API access + SLA
Learn More

Self-Hosted

$99/mo

Docker image. Your servers. Your GPU. Nothing leaves your network.

  • Docker — runs on any NVIDIA GPU
  • Air-gapped support — no internet required
  • Model updates included
  • Full control, full privacy
Learn More

Our Commitments (All Users, All Plans)

  • Audio files are never stored permanently. Processed in GPU memory, deleted immediately after transcription.
  • Your data is never used for AI training unless you explicitly opt in via Voice Lab.
  • We don't sell your data. Ever. To anyone.
  • All traffic encrypted in transit via TLS 1.3 with HSTS.
  • Delete your data anytime from Privacy Settings or by deleting your account.
  • Encryption code is open-sourceaudit it yourself (MIT license).

Open-Source Encryption

Our encryption library is fully open-source under the MIT license. Don't trust us — verify the code. No trust required, just math.

View on GitHub | View Source

Ready to transcribe securely?

Upload your first file free. Private transcripts available on Pro and Business plans.

Start Transcribing

Pitakon kang asring diajukake

Upload file audio utawa video menyang STT.ai. Pilih model lan pilihan AI sing dibutuhaké, banjur klik Transkrip. Transkrip bakal siap ing menit. Eksport minangka TXT, SRT, VTT, DOCX, JSON, utawa PDF.

Ya! STT.ai nawakake 600 menit gratis saben wulan kanggo kabeh pangguna. Ora perlu ndhaptar kanggo transkripsi pertama sampeyan. Rencana sing dibayar karo menit lan fitur luwih wiwit ing $5/bulan.

Akurasi gumantung marang modél AI kang sampeyan pilih lan kualitas audio. Modél paling apik kita bisa nggayuh 5-7% Tingkat Kesalahan tembung ing benchmark, tegesé akurasi 93-95%. Audio kang jelas karo swara latar mburi minimal ngasilaké asil sing paling apik.

STT.ai nawakake 10+ model kalebu Whisper Large V3, NVIDIA Canary, lan luwih. Sampeyan bisa ngbandingake asil saka macem-macem model ing file sing padha.

Ya. Sawisé transkripsi, ekspor transkripsimu minangka file subtitle SRT utawa VTT. Iki bisa dianggo karo YouTube, Vimeo, lan kabeh platform video utama.

Ya. STT.ai kanthi otomatis ngenali lan ngetik label speakers béda nganggo AI speaker diarization. Nggawe ing kabeh model lan basa.

Kabèh berkas ditranskripsi ing kurang saka5menit. Berkas audio 1 jam lumrahé butuh2-3menit karo model paling cepet.

STT.ai nyokong 20+ audio lan video format kalebu MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, lan AVI. Eksport minangka TXT, SRT, VTT, DOCX, JSON, utawa PDF.

Ya. Berkas audio diproses lan dipasak sawisé transkripsi. Data sampeyan ora bakal digunakaké kanggo latihan. Enkripsi klien-sisi ora dipunbayar ing kabeh rencana — enkripsi transkrip sing disimpan nganggo kunci mung sampeyan duwe. Nalika proses, penjelajah ngontrol audio sampeyan ing teks biasa. Ngerti babagan kaamanan kita.

STT.ai nawakake REST API karo Python lan Node.js SDKs. Free tier kalebu 100 menit / wulan.

STT.ai kalebu editor transcript kang bisa digunakaké kanggo ngowahi kesalahan, ngganti jeneng speaker, lan ngrekam wektu.

Saben transcript nampa link unik sing bisa dituduhake. Eksport menyang DOCX utawa PDF kanggo email. Pro plans nawakake kata sandi-dilindungi lan link permanen.

STT.ai nyokong 1,300+ platform kalebu YouTube, Vimeo, TikTok, SoundCloud, lan liya-liyane. URL transkripsi mung kerja karo audio lan video sing kasedhiya kanggo umum. Kandungan DRM-dilindungi (kayata episode premium Spotify, Netflix, Disney +, lsp.) ora bisa ditranskripsi. Kanggo konten DRM, unduh file kanthi terpisah lan langsung unggah.