Turboscribe
Fast AI transcription with multiple engine options. Free tier available. Cloud-processed with speaker labels, timestamps, and export formats.
What should journalists know about Turboscribe?
Turboscribe's value proposition is straightforward: upload audio, pick an engine, get a transcript fast. The multi-engine approach is the differentiator. You can choose OpenAI's Whisper large-v3 for accuracy, Deepgram's Nova-2 for speed, or their own Scribe engine for a balance. This lets journalists match the tool to the task — fast draft from a presser (Nova-2) vs. careful transcript of a key interview (Whisper). Accuracy on clear audio with the Whisper engine is competitive with Good Tape and Otter.ai — roughly 90-95% on clean recordings, lower on noisy audio or heavy accents. Speaker diarization (labeling who said what) works but requires review, especially with more than 2-3 speakers. The free tier (3 files/day, Ninja engine only) is genuinely useful for light users but the Ninja engine's accuracy is noticeably lower than the premium engines. Pro at $10/month annual is competitive — cheaper than Otter.ai Pro ($16.99/month) with comparable features. The privacy story is standard cloud transcription: your audio is uploaded to servers for processing. Turboscribe states it doesn't use uploads for AI training, but the privacy policy isn't as detailed as Good Tape's. No ISO certification, no published DPA, no EU-only server option. For routine transcription of non-sensitive material, it works well and the price is right. For sensitive source interviews, use Whisper locally (MacWhisper for a GUI, whisper.cpp for CLI) or Good Tape (ISO 27001, EU servers, auto-delete). Supports 98+ languages. Export to TXT, SRT, VTT, DOCX, PDF, JSON.
Bulk transcription on a budget. Choosing between multiple AI engines for different accuracy/speed needs. Quick drafts of press conferences and non-sensitive interviews. Subtitle generation (SRT/VTT export). Multilingual transcription across 98+ languages.
Sensitive source interviews — no ISO certification, no published DPA, no auto-delete of audio. Journalists who need guaranteed local processing. Real-time or live transcription. Users who need a formal Data Processing Agreement for compliance. Newsrooms that require EU-only data residency.
Security & Privacy
Data is scrambled while being sent to their servers
Data is scrambled when stored on their servers
Where servers are located — affects which governments can request your data
Privacy policy summary
Audio uploaded to cloud servers for processing. States it does not use uploads to train AI models. Specific retention periods, deletion policies, and server locations are not prominently documented. No published Data Processing Agreement. No ISO or SOC 2 certification publicly listed. Standard cloud service privacy posture without the journalism-specific guarantees of tools like Good Tape.
How to protect yourself:
Do not upload sensitive source interviews or recordings that could identify confidential sources. Use Turboscribe only for routine, non-sensitive transcription (press conferences, public meetings, on-the-record interviews). Delete uploaded files from the platform after downloading transcripts. For sensitive material, use Whisper locally (MacWhisper, whisper.cpp) or Good Tape (ISO 27001, auto-delete, EU servers). Always verify transcripts against original audio before publishing quotes — AI transcription errors are common across all engines.
Standard cloud transcription service with HTTPS in transit. States it doesn't train on user data. However, no ISO certification, no SOC 2, no published DPA, no auto-delete, and limited transparency about data handling. Adequate for non-sensitive transcription work but not recommended for confidential source material. Good Tape and local Whisper are better choices when privacy matters.
Who Owns This
Known issues
Free tier uses lower-accuracy Ninja engine only — not representative of paid tier quality. No ISO certification, SOC 2, or published security audit. Privacy policy lacks the specificity journalists need for sensitive work. No auto-delete of audio after processing. No EU server option. Speaker diarization accuracy degrades with more than 2-3 speakers. Accuracy drops significantly on noisy audio, heavy accents, and overlapping speech. Company details and ownership are not prominently disclosed — less transparency than competitors like Good Tape or Otter.ai.
Pricing
Free: 3 files/day, up to 30 minutes each, Ninja engine only (lower accuracy). Pro: $10/month (annual) or $16/month (monthly) — unlimited files, all engines (Whisper large-v3, Nova-2, Scribe), speaker labels, AI summaries, priority processing. Business: $24/month (annual) — team features, API access, higher file size limits.
This is an editorial assessment based on publicly available information as of 2026-04-11, using our published methodology. Independent security review is pending. Security posture can change at any time. This is not a guarantee of safety.
Something wrong or outdated? Report it.