How SafeScribe Compares
A side-by-side look at the privacy posture, pricing, and architecture of mainstream transcription tools.
Every competitor in this market makes some version of the same promise: "we respect your privacy." The differences live in the architecture. The table below is the version we use internally — not curated marketing claims, but what each provider actually does with your audio.
The Matrix| Provider | Category | Floor price ($/min) | Privacy posture | On-device? | Model |
|---|---|---|---|---|---|
| SafeScribe | Consumer mobile, privacy-first | $0.012 – $0.0165 | RAM-only, zero retention, no training, OIDC-pseudonymous | Hybrid (device preprocess + RAM-only cloud inference) | PAYG (no subscription) |
| Otter.ai | Meeting-bot SaaS | $16.99/mo tier (free 300 min/mo) | "De-identified" training — opt-out is opt-out, not absent | No (cloud) | Subscription |
| Rev | Marketplace + ASR | $0.02 (AI) / $0.25 (human) | Standard SaaS, SOC 2 | No | PAYG + sub |
| Descript | Audio/video editing | $12 – $24/mo tier | Training opt-in, default-off (after Reddit backlash) | Partial (Overdub) | Subscription |
| Sonix | Enterprise ASR | $0.166 | Standard SaaS, enterprise DPA | No | Sub + PAYG |
| Fireflies.ai | Meeting-bot SaaS | $10 – $19/user/mo | Server-stored speaker embeddings — biometric-privacy concerns | No | Subscription |
| Good Tape | Journalism-focused | $12/mo tier | EU servers, GDPR-aligned, audio retained per policy | No | Subscription |
| Deepgram | Developer API | $0.0043 (Nova-3) | Standard SaaS, BAA available | No | PAYG |
| MacWhisper / Aiko | Desktop native | $0 – $59 one-time | Fully on-device | Yes | One-time / free |
| Voice Memos / Recorder | OS-bundled | Free | Fully on-device (iOS 18+ / Pixel) | Yes | Free, OS-locked |
Pricing reflects publicly listed floors at the time of writing. The competitive landscape moves quickly — this is a snapshot, not a contract.
What stands outFive Things The Table Doesn't Tell You
- ✓ "De-identified" is a marketing word, not an architecture. The industry has been repeatedly tested on whether "de-identified" audio still ends up in training datasets. Our position: don't say "de-identified" — say "zero retention" and let users verify it (ACK the transcript, then query the work ID — server returns 404).
- ✓ Voiceprints are a privacy minefield. Server-stored speaker embeddings have repeatedly attracted biometric-privacy challenges across the industry. Any future diarization feature in SafeScribe will be client-side or fully ephemeral — we will never persist a voiceprint server-side.
- ✓ Default-off training isn't enough — we don't offer training at all. Several competitors have walked back default-on training toggles after public backlash. We removed the option entirely: there's no toggle to flip, no setting to forget, no "help improve the model" upsell. The system has no path for your audio to become training data.
- ✓ On-device preprocessing is a real differentiator. Roughly all cloud competitors upload your raw audio. We optimize on your device first (loudness normalization, high-pass filtering, silence trimming, 16 kHz FLAC) so the server only ever sees an already-processed stream — and then forgets it.
- ✓ No third-party analytics SDKs. No Mixpanel, no Amplitude, no Firebase Analytics, no advertising IDs. The privacy claim falls apart the moment a behavioral SDK ships in the bundle, so we ship none. The only telemetry is a backend-side, PII-scrubbed crash report you can disable.
Verify it yourself. After receiving a transcript, query
GET /v1/status/{work_id} — the server returns 404 Not Found. That's the receipt. There is no other copy.