ElevenLabs Scribe alternativeA Scribe alternative built around the transcript

ElevenLabs built its transcription the way a voice-AI company would: Scribe is one capability in a platform whose center of gravity is generating speech, priced in credits that all of its products share, offered both as an app and as a developer API. Hushscript built transcription the way a transcript user would: everything between the recording and the finished document lives in one place, and nothing else competes for the balance.

What ElevenLabs Scribe does well

ElevenLabs presents Scribe as a top-accuracy recognition model, and the spec sheet is genuinely strong: 90+ languages with published quality tiers, word-level timestamps, diarization for large speaker counts, and a developer API whose batch rate per hour of audio undercuts nearly everyone, Hushscript included. If you’re a developer building your own pipeline and you want raw structured output at the lowest price, their API is a fair choice, and this page won’t pretend otherwise.

Where the models part ways

The workflow. Scribe’s output lands in a capable capture UI or a JSON response, and what happens next is up to you. Hushscript’s output is an editable transcript document: rename speakers once and it carries everywhere, correct with find and replace, add translation targets (+25% of the duration each) and read them in tabs, then export in 21 formats or a password-protected archive.

The pass nobody else runs for free. One Insights run per transcript costs no minutes and produces the whole bundle at once: summaries, actions, decisions, open questions, quotes with transcript evidence, chapters, speaker topics, subject clusters, terminology and profanity findings, export suggestions, and a fully rewritten Cleaned transcript that sits in its own language tab beside the Original instead of arriving as a list of edits to approve. It is tied to the transcript revision it ran against, and regenerating later draws minutes from your balance at a rate shown before you confirm.

The vocabulary. An engine benchmark is measured on general speech; your recordings are full of names the benchmark never contained. Saved dictionaries carry those – bulk-imported from a CSV or TSV, organized into categories, spelling variants attached to each canonical term, markable as default so they preselect on every upload. Saved prompt presets carry standing instructions, one-off keyterms and a one-off custom prompt cover a single file, and medical mode swaps in a model built for clinical language. All of it configures recognition, not the text afterwards.

The defaults. ElevenLabs’ privacy policy permits processing personal data to “research, develop, train and/or otherwise improve our AI models”, with an account-menu opt-out that applies only going forward. Hushscript’s defaults require no settings: recordings are never used to train models, the transcription audio is deleted the moment the transcript is ready, stored transcripts are encrypted at rest under a retention window you pick (keep until deleted, or auto-delete after 7, 30, 90, or 365 days), deletion returns a downloadable receipt, private mode saves no transcript at all, and EU, EEA, Swiss, and UK audio is processed in the EU.

Who should pick an ElevenLabs Scribe alternative

A developer wiring transcription into software: ElevenLabs’ API, on price alone. A creator already paying for ElevenLabs voices who occasionally transcribes: the shared credits may be enough. Someone whose actual job is the transcript – checking it, translating it, exporting it, keeping it private: that’s what Hushscript is for.