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Record screen to GitHub in one click. AI turns clicks into SOPs, bug reports & guides. Your key or local models — private by design. Record your screen and turn it into documentation — automatically. RecordDrop captures your screen with one click (Alt+R) and drops the recording straight into GitHub comments and issues. Your video saves locally first, so a failed upload never loses your work. WHAT'S NEW IN V2.7 — AI WORKFLOW DOCUMENTATION • Pick a workflow template and record: SOP/Tutorial, Bug Report, Employee Onboarding, Support Reply, or SaaS Migration Audit • Every click is captured with the element name, page URL and a highlighted screenshot • AI writes clear step-by-step descriptions — generated inside the extension • Download polished Markdown documents: manuals, repro steps, training checklists, support replies, migration audits • Build your own workflows with custom prompts and output formats PRIVATE BY DESIGN • Works with your own API key (OpenAI, OpenRouter, or any OpenAI-compatible service) • Optional: run fully offline with local models via Ollama — screenshots never leave your machine • No account. No cloud. No tracking. PERFECT FOR • Support & ops teams documenting procedures • Developers capturing bug reproduction steps • Consultants auditing SaaS workflows for migration • Anyone tired of writing "Step 1: click…, Step 2: click…" FREE & OPEN Core features are free forever. Pro template packs unlock with a license key. Feedback & issues: https://github.com/dj1988022/RecordDrop
Sep 15, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.