GitHub+Amical

AI Dictation in GitHub

Write GitHub PR descriptions, issue reports, and review comments faster — Amical formats your voice into the structured Markdown GitHub renders cleanly.

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Why typing in GitHub is slowing you down

Issue reports are too short

A useful issue report needs steps to reproduce, expected behaviour, observed behaviour, and environment notes. Typing all that out takes time, so most issues end up under-detailed and slow to triage.

PR descriptions get neglected

A two-line PR description leaves reviewers guessing about scope and intent. Voice unlocks the kind of detailed write-up that turns review into a quick approval instead of three rounds of clarifying questions.

Review comments stay terse

Reviewers default to "looks good" or "needs work" because typing constructive feedback takes minutes. Speaking lets you explain the why behind a suggestion in seconds, and the review quality goes up.

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GitHub

What Amical does in GitHub

Markdown that renders right

Amical produces the kind of structured Markdown GitHub expects — proper headings, code-block placement around inline references, bullet lists, links — so the output renders cleanly in PR bodies, issue comments, and reviews without manual editing.

Repo and identifier vocabulary

Function names, type names, file paths, branch names — the recurring identifiers in your repo get learned over time so they transcribe consistently. Issue references like #142 and PR cross-links work without manual cleanup.

PRs, issues, reviews, releases

Same hotkey across the entire GitHub surface — PR descriptions, issue forms, review comments, release notes, wiki pages. Each input gets the right register: technical and structured for issues, persuasive for releases, supportive for review feedback.

What you'd dictate in GitHub

Detailed bug report with reproduction steps expected and observed behaviour
PR description explaining what changed why and how it was tested
Constructive review comment suggesting an alternative approach with reasoning

Experience the future of dictation

Local and Cloud Models

Choose from powerful cloud-based AI models or run everything locally for maximum privacy and control. Switch seamlessly between providers to find the perfect balance of speed, accuracy, and security.

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Custom Vocabulary

Customize the AI to recognize your specific terminology, jargon, and proper nouns for industry-specific accuracy and personalized transcription results.

Project PhoenixMcConaughey
CI/CD pipelinek8s
SOC2PostgreSQL
JiraROI metrics
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Custom Shortcuts

Create personalized voice commands and shortcuts to streamline your workflow and boost productivity with hands-free operation.

Multi Language Support

Transcribe and dictate in 100+ languages with native-level accuracy. Switch between languages seamlessly or use mixed-language dictation.

Frequently asked questions

Built for people who use GitHub

Fast, Accurate, Context-aware and Private

Type 4x Faster with AI

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