Get Parrot
Parrot ships as a double-click desktop app on all three desktop systems, so no terminal is needed. The README sends you to the website for the download; the installer files are also attached to the latest GitHub release.
Platform | Get It |
|---|---|
| macOS (Apple silicon) | Parrot_26.2.4_aarch64.dmg |
| Windows | Parrot_26.2.4_x64-setup.exe or .msi (ARM64 builds also listed) |
| Linux | AppImage, .deb or .rpm for x86-64 and ARM64 |
| Website | tryparrot.vercel.app |
| Privacy policy | No separate privacy-policy page was found; the README and site describe local processing |
| Source code | github.com/rishiskhare/parrot |
The release lists only an Apple silicon disk image, so Intel Macs are not covered. On first launch the app asks you to download the voice model, which needs an internet connection once.
Parrot at a Glance
Attribute | Parrot |
|---|---|
| Platform | Windows, macOS, Linux |
| Price | Free |
| License | MIT |
| Runs | Locally, on the CPU |
| Languages | 9 options (US and UK English counted separately) |
| Voice cloning | Not stated; 54 preset voices |
| Streaming output | Yes, audio starts before synthesis finishes |
| Usable on CPU only | Yes |
| Local API server | No; command-line flags only |
Attributes follow the text-to-speech comparison used in the Local LLM Software Directory. A missing statement on the site means unknown, not unsupported.
What Parrot Is
Parrot is a read-aloud utility, not a voice studio. The website calls it probably the most simple text-to-speech app: its only function is to read aloud whatever you select. The author says the goal is not the best app but the most forkable one, a small base for accessibility tools and voice experiments.
It is a fork of Handy, an open-source speech-to-text app by CJ Pais, and keeps its Tauri architecture with a Rust backend. The voice comes from Kokoro-82M, an open model with an Apache-2.0 licence on its Hugging Face page, run through the author's tts-rs library.
This review draws on the website, the README and the GitHub releases and commits. It involved no hands-on testing, so voice quality, speed and stability are not rated here.
How to Get Started
Setup is an installer download, a one-time model download, then a shortcut. The steps follow the README.
- 1Install the app for your system
Why it matters: Download it from the [website](https://tryparrot.vercel.app/) or the [releases page](https://github.com/rishiskhare/parrot/releases/latest) and run the installer. - 2Download the voice model on first launch
Why it matters: Parrot prompts for the roughly 115 MB model; once it is stored, the README says the app works completely offline. - 3Select text and press the shortcut
Why it matters: The default is Option+Space on macOS and Ctrl+Space on Windows and Linux; a small overlay shows while audio plays, and every shortcut can be changed. - 4Pause or resume while it speaks
Why it matters: Option+P (Alt+P on Windows and Linux) pauses and resumes playback; this shortcut is only active during playback.
Features and Voices
The feature set is deliberately small. Everything below comes from the README and the website.
- Works in any app. It reads selected text from browsers, editors, PDFs and terminals.
- Streaming playback. Audio starts before the whole text has been synthesized.
- 54 voices in nine language options. US and UK English, Spanish, French, Hindi, Italian, Japanese, Brazilian Portuguese and Mandarin; the voice follows your language setting or can be picked in Settings.
- Controls. Playback speed, worker threads, an optional first-response speed-up and a floating overlay with pause controls.
- History. Past utterances can be browsed, replayed, copied and deleted, with an entry limit and an automatic delete period.
- Scripting. Command-line flags such as
parrot --toggle-transcriptionand Unix signals let window managers and hotkey tools trigger speech, which is the recommended route on Wayland.
Privacy, License and Cost
The README says your text is processed on your device and never sent anywhere. It lists no cloud, no accounts and no internet requirement after the first model download. The website repeats that the text stays on your computer.
The code is MIT-licensed and the app is free with no subscription or API key, per the README. No dedicated privacy-policy page was found, and the README does not say which server hosts the model download. This review did not inspect network traffic, so these statements are the developer's own.
The History feature stores what Parrot has read on your machine; you can set an entry limit and an automatic delete period, or delete entries by hand.
Trade-Offs: Benefits vs. Limitations
Offline neural voice
- What it means in real use:
- Listen to text without a cloud service.
- Limitation / caveat:
- Voice quality is not rated here; the project links only an audio sample.
Works in any app
- What it means in real use:
- One shortcut for browsers, PDFs and editors.
- Limitation / caveat:
- Wayland needs a desktop-level shortcut that calls the command line.
Small and CPU-only
- What it means in real use:
- Runs on an ordinary computer.
- Limitation / caveat:
- No RAM figure is published.
Installers for all desktops
- What it means in real use:
- Download and open, no terminal needed.
- Limitation / caveat:
- macOS build is Apple silicon only.
Open source and free
- What it means in real use:
- MIT code you can fork and change.
- Limitation / caveat:
- No update since 28 April 2026; the author says feature requests may not make it into the main project.
Parrot vs. Alternatives
Most other text-to-speech tools in the directory are engines for developers, not read-aloud apps. Parrot is the one you install and use with a shortcut.
Parrot
- Platforms:
- Windows, macOS, Linux
- Price and license:
- Free, MIT
- Role:
- Read-aloud desktop app
- Key difference:
- Select text, press a key, hear it; no coding
Piper TTS
- Platforms:
- Windows, macOS, Linux
- Price and license:
- Free, GPL-3.0
- Role:
- Command-line speech engine
- Key difference:
- Fast CPU voices for scripts and projects, not a selection reader
Articles about Piper TTS (7)
- Piper TTS Review: Fast, Local Neural Text-to-SpeechUpdated September 5, 2026
- Local Multimodal AI Pipeline 2026: Combine Voice, Vision, and Text Models OfflineUpdated October 17, 2026
- openai-edge-tts Review: A Free OpenAI-Compatible TTS ServerUpdated September 19, 2026
- Build a Local Voice Assistant on Your Phone: Whisper + Local LLM (No Cloud) — 2026Updated August 29, 2026
- Build a Fully Offline Voice Assistant in 2026: Whisper + LLM + Piper (Step-by-Step)Updated August 28, 2026
- Whisper on Apple Silicon 2026: Metal Benchmarks, Core ML Setup, M1–M5 Speed GuideUpdated August 26, 2026
- Local TTS & Voice Cloning Licenses 2026: Which Engines Allow Commercial Use (Piper, XTTS v2, F5-TTS, Coqui)Updated July 15, 2026
Also mentioned in:
- Local Voice & Speech Tools Compared (2026): Text-to-Speech, Speech-to-Text and Voice AgentsUpdated September 20, 2026
- Willow Inference Server Review: Self-Hosted Whisper ASR and TTSUpdated September 19, 2026
- Best Local TTS Engine for Mac (2026): What Actually Uses Apple SiliconUpdated September 11, 2026
+3 more not shown
Izwi
- Platforms:
- Windows, macOS, Linux
- Price and license:
- Free, MIT
- Role:
- Local voice runtime
- Key difference:
- Speech output plus transcription, cloning and an API
Articles about Izwi (2)
- Izwi Review: Local Voice AI for TTS, STT, and CloningUpdated September 19, 2026
- Local Voice & Speech Tools Compared (2026): Text-to-Speech, Speech-to-Text and Voice AgentsUpdated September 20, 2026
Coqui TTS
- Platforms:
- Windows, macOS, Linux
- Price and license:
- Free, MPL 2.0
- Role:
- Python toolkit
- Key difference:
- Many model architectures for developers
Articles about Coqui TTS (6)
- Coqui TTS Review: The Community-Maintained Voice-Cloning ToolkitUpdated September 5, 2026
- Local Voice & Speech Tools Compared (2026): Text-to-Speech, Speech-to-Text and Voice AgentsUpdated September 20, 2026
- Best Local TTS Engine for Raspberry Pi (2026)Updated September 11, 2026
- Bark TTS Review: Suno's MIT-Licensed Model for Laughter, Sighs, and SpeechUpdated September 6, 2026
- XTTS v2 Review: Multilingual Voice Cloning from 6 Seconds of AudioUpdated September 5, 2026
- Local TTS & Voice Cloning Licenses 2026: Which Engines Allow Commercial Use (Piper, XTTS v2, F5-TTS, Coqui)Updated July 15, 2026
Also mentioned in:
- Willow Inference Server Review: Self-Hosted Whisper ASR and TTSUpdated September 19, 2026
- Best Local TTS Engine for Mac (2026): What Actually Uses Apple SiliconUpdated September 11, 2026
- Best Local TTS Engine for an NVIDIA GPU Setup (2026)Updated September 11, 2026
- Best TTS for Ollama (2026): Adding Voice Output to a Local LLM SetupUpdated September 11, 2026
+3 more not shown
Bark
- Platforms:
- Windows, macOS, Linux
- Price and license:
- Free, MIT
- Role:
- Generative speech model
- Key difference:
- Adds sound effects and music; heavier to run
Articles about Bark (7)
- Bark TTS Review: Suno's MIT-Licensed Model for Laughter, Sighs, and SpeechUpdated September 6, 2026
- Local Voice & Speech Tools Compared (2026): Text-to-Speech, Speech-to-Text and Voice AgentsUpdated September 20, 2026
- Best Local TTS Engine for Mac (2026): What Actually Uses Apple SiliconUpdated September 11, 2026
- Best Local TTS Engine for an NVIDIA GPU Setup (2026)Updated September 11, 2026
- Best TTS for Ollama (2026): Adding Voice Output to a Local LLM SetupUpdated September 11, 2026
- StyleTTS 2 Review: Columbia's MIT-Licensed Research Model for Natural SpeechUpdated September 6, 2026
- Local TTS & Voice Cloning Licenses 2026: Which Engines Allow Commercial Use (Piper, XTTS v2, F5-TTS, Coqui)Updated July 15, 2026
Also mentioned in:
- Open-LLM-VTuber Review: Self-Hosted Voice Chat with a Live2D AvatarUpdated October 24, 2026
- Willow Inference Server Review: Self-Hosted Whisper ASR and TTSUpdated September 19, 2026
- Piper vs Kokoro TTS (2026): Which Local Voice Engine Should You Use?Updated September 11, 2026
+3 more not shown
Platform, price, and feature details for third-party apps change frequently. Verify current specifics on each project's own page before deciding.
Who Should Use Parrot
- People who like to listen. Articles, long emails and documents become audio with one shortcut.
- Readers with accessibility needs. The project frames the app as accessibility tooling that should not sit behind a paywall.
- Tinkerers. The code is meant to be forked and extended.
Who Should Not Use Parrot
- Intel Mac owners. The release lists only an Apple silicon macOS build.
- Anyone who needs a maintained product. The stale-project warning at the top applies.
- People who need voice cloning or an API. Neither is documented; look at the engines in the table above.
- Users who need documented compliance. There is no privacy-policy page.
Frequently Asked Questions
Does Parrot need a GPU?
No. The README says the model runs on any modern CPU; it publishes no RAM or speed figures.
Is Parrot the same as Handy?
No. Handy is a speech-to-text app; Parrot is a fork that reverses the direction and reads text aloud.
Can I change the shortcuts?
Yes, all shortcuts can be changed in Settings. On Wayland, bind your desktop shortcut to parrot --toggle-transcription.
Does it keep a record of what it read?
Yes, a History page stores past utterances locally; you can limit the number of entries or delete them automatically.
Can it clone a voice or run as a server?
Neither is documented. It offers 54 preset voices and command-line flags only.
Verdict
Parrot is a good fit if you want a free, no-account way to hear selected text read aloud on your own computer: it installs like a normal app and does one job.
The caveats are maturity and transparency: no update since 28 April 2026, 162 GitHub stars, no privacy-policy page and no voice-quality or memory figures. Try it with a few documents before depending on it, and treat the stale-project warning as binding.
Sources
- Parrot website — product description, download links and privacy statement.
- Parrot about page — project goals, fork of Handy and model.
- Parrot on GitHub — README, MIT license, star count and commit history.
- Parrot releases — version 26.2.4 and installer files.
- Kokoro-82M on Hugging Face — the voice model and its Apache-2.0 licence.
