Tambourine Voice
Open-source AI voice dictation that works in any app, with full control over models and prompts.
Tambourine is the most hackable voice dictation tool we've seen—full model freedom and prompt control. The self-hosted setup is a barrier for non-developers, but if you're comfortable with GitHub and config files, it's a powerful, privacy-respecting alternative to closed-source options like Wispr Flow. For developers who want to wire up their own Whisper and Ollama stack, it's a win. Non-technical users should wait for the hosted service.
Verified 2d ago · liveness 70/100 · cite: rightaichoice.com/tools/tambourine-voice
- Developers who want to hack on an open-source voice dictation tool
- Power users who want to customize dictation behavior with prompts
- Privacy-conscious users who prefer local models (Whisper + Ollama)
- Users seeking an alternative to Wispr Flow with more control
- Users who want a polished, zero-setup commercial product
- Non-technical users who need a plug-and-play hosted solution (not available yet)
- Users needing enterprise support or SLAs
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Skip Tambourine Voice if you need a zero-setup dictation tool that works out of the box, or if you're not comfortable with GitHub, config files, and self-hosting—you'll wait for the hosted service.
Self-hosting requires you to supply your own STT and LLM API keys, so you'll pay per-use for cloud providers (or absorb hardware costs for local models).
Self-hosting is free (AGPL-3.0), making it the cheapest fully-customizable voice dictation option for developers who already have local models or API keys. Compared to Wispr Flow's subscription, Tambourine costs only your own infrastructure and time, though the hosted tier will likely add a subscription once available.
In short
Tambourine Voice — Open-source AI voice dictation that works in any app, with full control over models and prompts. Best for Developers who want to hack on an open-source voice dictation tool, Power users who want to customize dictation behavior with prompts, Privacy-conscious users who prefer local models (Whisper + Ollama). Free to use.
What people actually say about Tambourine Voice — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
9 mentions across 4 sources (Hacker News, Product Hunt, Bluesky, GitHub) · researched Jul 6, 2026.
- +Full control over STT and LLM models, cloud or local.
- +Editable prompts for formatting, tone, and punctuation.
- +Truly open-source (AGPL-3.0) — no vendor lock-in.
- +Works with any text input field on Windows and macOS.
- +Personal dictionary for technical terms and names.
- −Transcription may be lost during local model timeout.
- −Adding dictionary words requires opening settings — no quick add.
- −Steep learning curve for non-developers setting up local models.
- −Hosted service still on waitlist — not ready yet.
- −Only 30 open issues indicates early-stage rough edges.
- • Self-hosted may require paying for cloud API keys (e.g., OpenAI, Whisper) if not using local models.
- • Hardware costs for running local LLMs (GPU recommended).
Viability Score
How well maintained and how widely used is Tambourine Voice? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Dictate into any text input field
- Choose any STT model (cloud or local Whisper)
- Choose any LLM model (cloud or local Ollama)
- Customizable prompts for formatting, tone, punctuation
- Personal dictionary for technical terms and names
- Backtrack corrections via 'actually' or 'scratch that'
- Smart list formatting (e.g., 'one eggs two milk' -> 1. Eggs 2. Milk)
- Edit prompts in Settings -> Prompts
- Self-hosted open-source deployment (AGPL-3.0)
- Hosted service on waitlist
- Windows and macOS support
- Context-awareness (coming soon)
- App-dependent formatting (coming soon)
- Selection commands for in-place transformation (coming soon)
- Voice shortcuts for frequently used text (coming soon)
About Tambourine Voice
Tambourine Voice is an open-source dictation platform for Windows and macOS that lets you speak into any text field at up to 160 words per minute. You choose your speech-to-text (STT) and language model (LLM) providers—cloud options or fully local setups with Whisper and Ollama. All formatting and correction behavior is driven by editable prompts, so you can add personal dictionaries, backtrack corrections, and smart list formatting. The self-hosted version is free under AGPL-3.0, while a hosted service is on a waitlist for zero-setup use. It's built for developers and power users who want to customize every aspect of their dictation experience.
Behind the Verdict
Tambourine Voice fills a genuine gap in the voice dictation market: it's open source, model-agnostic, and prompt-driven. Unlike proprietary tools that lock you into their cloud and their rules, Tambourine puts the logic in your hands. The personal dictionary, backtrack corrections, and list formatting are all implemented as customizable prompts, which means you can tweak them endlessly or build entirely new behaviors. This is a boon for developers who live in code editors and terminals—you can dictate directly into Claude Code or any desktop app. The trade-off is clear: setup requires technical comfort. You'll be cloning a repo, configuring STT and LLM endpoints, and editing prompt files. If that sounds like fun, it's a fantastic sandbox. If not, the hosted service (still on waitlist) is the path to wait for. The roadmap—context-awareness, app-dependent formatting, selection commands, and voice shortcuts—promises even more control for power users. For now, it's a desktop-only, self-hosted tool that prioritizes flexibility over polish. It's not for mobile users, enterprise teams needing SLAs, or anyone who wants plug-and-play simplicity today.
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Real-world workflow fit
Concrete scenarios for the personas Tambourine Voice actually fits — and what changes day-one when you adopt it.
You're writing a Python function in VS Code and want to keep your hands on the keyboard. You configure Tambourine to use a local Whisper model and Ollama with a code-focused LLM, then speak your logic while it transcribes directly into the editor.
Outcome: You produce code at speaking speed with custom prompt rules for syntax, and you can say 'actually' to fix mistakes without touching the mouse.
You write technical documentation and don't want your content sent to the cloud. You set up Tambourine with Whisper locally and Ollama running a local LLM, then dictate your guide with a personal dictionary for product terms.
Outcome: Everything stays on your machine, and your formatting rules ensure lists and technical terms are handled correctly.
You draft dozens of emails daily and want to speed up. You install Tambourine, pick a cloud STT and LLM for speed, and write a prompt that adds formal salutations and sign-offs automatically.
Outcome: You dictate emails into your mail client at 3x typing speed, with consistent formatting and no repetitive typing.
Use Cases
- Dictate code directly into your editor while keeping hands on the keyboard.
- Write email drafts 3x faster by speaking instead of typing.
- Create custom formatting rules for technical documentation or notes.
- Use voice commands to correct mistakes on the fly with backtrack corrections.
- Build a fully offline dictation setup using local Whisper and Ollama models.
Models Under the Hood
as of 2026-08-19
Limitations
- Tambourine is an open-source platform for AI voice dictation that requires self-hosting, with a hosted service waitlist.
- It is currently available as a desktop app for Windows and macOS.
- Several features such as context-awareness, app-dependent formatting, selection commands, and voice shortcuts are listed as 'coming soon' and not yet available.
as of 2026-08-21
Verification history
We have re-verified Tambourine Voice 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Tambourine Voice tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Self-Hosted
$0/mo
Ideal for
Developers and tinkerers who want full control, privacy, and zero subscription cost, and are comfortable running their own STT and LLM stack.
What this tier adds
Free under AGPL-3.0, requires manual setup of models and prompts; all customization is available.
Hosted Service
Coming Soon (Join Waitlist)
Ideal for
Non-technical users and professionals who want a plug-and-play dictation tool without managing infrastructure or model configurations.
What this tier adds
No setup required—infrastructure and model management handled by the team; expected to have a free tier and paid subscription (details TBA).
Where the pricing makes sense
The company stage and team size where Tambourine Voice's pricing actually pencils out — and where peers do it cheaper.
Self-hosting is free (AGPL-3.0), making it the cheapest fully-customizable voice dictation option for developers who already have local models or API keys. Compared to Wispr Flow's subscription, Tambourine costs only your own infrastructure and time, though the hosted tier will likely add a subscription once available.
Setup time & first value
How long it actually takes to get something useful out of Tambourine Voice — broken out by persona, not the marketing-page minute.
For developers: 30-60 minutes to clone, configure STT/LLM endpoints, and test prompts. For power users comfortable with config files: about an hour. Non-technical users: not viable yet—wait for hosted service.
Switching to or from Tambourine Voice
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Wispr Flow: Export any custom dictionaries (if available) and manually recreate them as prompts and personal dictionary entries in Tambourine. Expect to rewrite formatting rules as prompt logic.
- ↗To Wispr Flow or Superwhisper: If you want a polished cloud solution, you can stop self-hosting and start a subscription; your dictation history (if any) isn't portable—export your prompts for reference.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Tambourine Voice
Common stack mates teams adopt alongside Tambourine Voice, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Tambourine Voice vs Poke Interaction Co
Choose Tambourine Voice if you want open-source, fully customizable dictation with local model support and you're comfortable with some setup. Choose Poke if you prefer a proactive AI assistant that lives inside your messaging apps to manage email, calendar, and tasks with minimal friction. These tools serve different use cases—dictation vs. chat-based personal assistant—so your choice depends on whether you need to type faster or delegate life admin.
Tambourine Voice vs Guesty
These tools serve entirely different needs. Guesty is a full-featured vacation rental PMS with AI agents for guest messaging and reconciliation, designed for property managers scaling from 4 to 200+ listings. Tambourine Voice is an open-source desktop dictation tool for developers who want to customize voice input into any app. Choose Guesty if you need AI-driven hospitality operations; choose Tambourine if you want to dictate code or text with full local control.
Tambourine Voice vs Gem
If you're a recruiter or talent team looking to unify ATS, CRM, and AI automation, Gem is the clear choice—it's a purpose-built all-in-one platform with proven ROI. For developers or privacy-focused individuals who need highly customizable voice dictation for any desktop app, Tambourine Voice offers unmatched control and is free to self-host. Choose based on your domain: recruiting versus personal productivity.
Alternatives to Tambourine Voice
View all
Opentypeless
Free, open-source AI voice typing for any desktop app
Wispr Flow
Wispr Flow: voice dictation AI that turns speech into polished text in every app
Superwhisper
AI voice-to-text dictation for macOS, Windows & iOS with custom modes
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