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tabi

heytabi.app ↗

By Nikhil Bhima

tabi is a Mac voice app that turns speech into cleaned-up text at the cursor in any Mac app, reads selected text or documents aloud, and answers questions or rewrites text on voice command.

AI & AutomationPublic web research
Visit product ↗AI Profile ↗
Source-backed public recordPrimary source ↗

Snapshot

Continue to About ↓
What it does
  • tabi is a Mac voice app that turns speech into cleaned-up text at the cursor in any Mac app, reads selected text or documents aloud, and answers questions or rewrites text on voice command.
More detail
  • All speech-to-text, cleanup, and text-to-speech run on Mistral AI models.
Best for
  • Mac users on macOS 14+ who write across Mail, Slack, and other apps and want dictation that inserts finished text anywhere, plus hands-free read-aloud of long documents and books.
More detail
  • Also suits multilingual users who need dictation in 56 languages and read-aloud translation in 37.
Pricing
  • Free while in beta, with every feature switched on and no account or card required.
More detail
  • No subscription tiers, one-time fees, or usage caps are published — unknown.
  • A paid plan may come later, with in-app notice before anything changes and no charge without consent.
  • Non-monetary costs: every take needs
Main limitation
  • Windows, Linux, iOS, or Android users, and anyone who needs offline or air-gapped operation.
More detail
  • Poor fit for privacy-maximalists who object to audio and read-aloud text going to Mistral, or for buyers needing contractual stability while the app is in beta.
Record
Living and monitored
Reviewed
Evidence
Public web research

About

  • tabi is a Mac voice app that turns speech into cleaned-up text at the cursor in any Mac app, reads selected text or documents aloud, and answers questions or rewrites text on voice command.
  • All speech-to-text, cleanup, and text-to-speech run on Mistral AI models.

What it helps with

Capabilities

A practical view of what is available and where limitations apply.

OfferingAvailableDetail
Dictation at the cursor YesHold fn, speak, release; cleaned-up text lands wherever the cursor is in any Mac app. Tap fn twice for hands-free mode.
Ask via fn + Control YesTurns a take into a request: answer a question, rewrite selected text in place, or draft a reply; with no text field, output appears above the on-screen orb.
Read aloud any selection Yes⌃⌘R or the menu-bar command reads selected text in a real voice, with near-instant start.
Listen mode for documents YesImport PDF, Word, EPUB, TXT, or a photo of a page; page numbers and running headers are skipped, sentences are highlighted, and scanned PDFs/photos go through Mistral OCR.
Read-aloud translation YesTranslates and reads text in 37 spoken languages, with a switch to show the text as written next to what you hear.
Audio export YesSaves the whole Listen text as an M4A file in the chosen voice and language.
Custom Dictionary YesFixes recurring mis-transcriptions and records the user's pronunciation of names for read-aloud.
Per-app writing styles YesEach app can own a style, so cleanup in Slack differs from cleanup in Mail.
Offline operation NoSpeech-to-text, cleanup, and text-to-speech run on Mistral's cloud models, so an internet connection is required.
Independent third-party reviews UnknownNone found in the supplied corpus; review themes and real-world limitations cannot be evidenced from independent sources.

Bot trust

How confidently AI systems can verify this profile from public evidence.

48of 100
ChatGPT50/100
Claude45/100

What bots could verify

  • • Comprehensive disclosure of data flows, Mistral 30-day retention, and preview-model training risks.
  • • Transparent beta pricing terms indicating free access without credit card requirements.
  • • Traceable founder identity with active launch platform citations and contact details.

What weakens trust

  • • No verified corporate entity, physical business address, or company registration details.
  • • Total absence of independent customer reviews, testimonials, or documented user retention.
  • • Lack of third-party performance benchmarks or technical audits verifying operational claims.

Evidence

Where this record came from, when it was reviewed, and how confidently it can be used.

Verification
  • Scribble researched these facts from the linked public sources.
  • The owner has not manually confirmed every field.
Last reviewed
Primary source
heytabi.app
Technical profile details
Record ID9e8f30f3-bfde-40a1-9c88-0dc9428c0c73Canonical URLhttps://profiles.scribble.network/listing/heytabi-9e8f30