Automatic searchable personal memory for productivity workflows
Rewind.ai is a desktop app that continuously records and indexes your screen, audio, and text to make past work searchable; it's aimed at knowledge workers and teams who need precise recall of meetings and on-screen activity, and offers a free tier with basic local search plus paid plans for cloud-backed storage and team sharing.
Rewind.ai is a productivity tool that records and indexes your on‑device activity to make past screens, calls, and text instantly searchable. It continuously captures a private “personal memory,” letting you rewind to find snippets from meetings, videos, and documents. Rewind’s key differentiator is its visual, timestamped playback combined with text search across audio and screen content for knowledge workers and teams. The app supports Mac and Windows, offers a limited free tier, and paid plans unlock cloud storage and team collaboration features, making the productivity tool accessible for individuals and organizations.
Rewind.ai is a personal memory and productivity app that records your computer screen, audio, and typed text to create a searchable history of your work. Founded in 2020 and headquartered in San Francisco, Rewind positions itself as a privacy-focused way to “remember everything” you’ve seen or heard on your device without relying solely on fallible human memory. The core value proposition is restoring forgotten details: instead of hunting through meetings, notes, or chat logs, you can search by keyword and jump back to the exact moment it happened. Rewind stores data locally by default and offers optional encrypted cloud backup for paid plans.
Rewind’s feature set centers on continuous capture, searchable transcripts, and visual replay. The app records high-resolution screenshots and screen video frames, indexes on-device text and speech with speaker-attributed transcripts, and provides a timeline UI to scrub to exact moments. Search supports natural-language queries and highlights results across audio transcripts, on-screen text, and app titles; hitting a result opens a visual replay with synchronized audio and pointer activity. Rewind also includes clip creation and sharing: users can export short clips or timestamps for teammates; team plans add shared libraries and access controls. Recent updates added calendar integrations to tag meetings automatically and support for Zoom and Google Meet audio capture (consent required).
Pricing is split between a free tier and paid individual and team subscriptions. The Free plan allows local recording, basic on-device search, and up to 7 days of cloud backup trial but does not include team sharing or extended cloud history. The Personal paid plan (monthly or discounted annual) unlocks encrypted cloud backup, 30+ days of searchable history, advanced export, and priority support. Team and Business tiers provide centralized administration, shared libraries, and longer retention; enterprise pricing is custom. Rewind frequently updates retention and storage limits, so check the app for current quotas and exact monthly/annual pricing before buying.
Who uses Rewind.ai in real workflows? Product managers use it to recover exact UI bug repro steps and timestamps during cross-team handoffs, while researchers use it to capture and search interview audio clips for faster analysis. Sales managers use clip exports to train reps with exact objection examples from calls, and engineers rely on the app to reconstruct what code was visible when an incident was first noticed. Compared to screen-recording-only tools like Loom, Rewind emphasizes long-term searchable memory and transcripted rewind rather than single-session recordings, making it more of a persistent personal knowledge layer than a one-off recorder.
Three capabilities that set Rewind.ai apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free | Free | Local-only capture, basic on-device search, no team sharing, limited cloud trial | Individuals testing Rewind features |
| Personal | $9.99/month | Encrypted cloud backup, ~30 days searchable history, clip export | Solo knowledge workers wanting cloud history |
| Team | $12–$15/user/month (billed annually) | Shared libraries, admin controls, longer retention (varies) | Small teams needing shared searchable memory |
| Enterprise | Custom | SAML SSO, custom retention, account management | Organizations needing compliance and controls |
Copy these into Rewind.ai as-is. Each targets a different high-value workflow.
Role: You are Rewind.ai’s assistant for product handoffs. Constraints: Search this device for screen recordings, app windows, and audio from the past 7 days for sessions involving the app named "AcmeApp"; return only clear, sequential user actions that reproduce the bug; limit to one bug per output. Output format: numbered step list with: 1) ISO timestamp, 2) 5–8 word action description, 3) app window title, 4) single screenshot reference or frame timestamp. Example: 1) 2026-04-20T14:12:06Z — Open AcmeApp > Settings — Settings Window — frame@00:00:03.
Role: You are a user-research assistant extracting verbatim quotes. Constraints: Search a single interview recording from a specified file or session named "Interview_JaneDoe_2026-04-15"; return up to 12 exact quotes, each <= 30 words, with speaker label (Interviewee), start timestamp, end timestamp, and 1-line context (question asked). Output format: bullet list: "[start-end ISO] (Speaker) "Quote" — Context: {question}". Example: [2026-04-15T10:02:34Z-10:02:48Z] (Interviewee) "I always toggle the setting twice." — Context: How do you change preferences?
Role: You are a sales enablement analyst producing a training library from recorded calls. Constraints: Search last 30 days of sales calls; extract the top 10 distinct objection examples (different wording or intent); for each include call ID, agent name, ISO start/end timestamps, 10–20 word text transcript, suggested tag (e.g., "price", "competitor", "timeline"), and a 15-second clip start/end recommendation. Output format: numbered list with fields: CallID | Agent | Start–End | Transcript (10–20 words) | Tag | Clip (start–end). Example: 1) C12345 | Alex | 2026-04-10T11:02:12Z–11:02:22Z | "Your price is too high compared to X." | price | 11:02:06–11:02:21.
Role: You are an audit assistant scanning team recordings for decision/approval mentions. Constraints: Search team-shared meetings and recorded chats between 2026-01-01 and 2026-03-31; flag any segment mentioning approvals, sign-offs, legal, compliance, or formal decisions; for each include ISO timestamp, meeting name, speaker, short quote (<=25 words), and confidence score 0–100. Output format: CSV rows: timestamp,meeting_name,speaker,quote,confidence. Example row: 2026-02-12T09:15:03Z,Product Roadmap,Mary,"Legal approved the contract clause",92.
Role: You are a senior QA analyst producing an engineer-ready bug report using Rewind recordings. Multi-step: 1) Search for sessions mentioning "error", "crash", "unexpected", or showing app failure in the past 14 days; 2) For each unique bug, produce a report block with title, priority (P0/P1/P2) justification, exact reproducible steps with ISO timestamps and 1–2 screenshots or frame refs, observed result (quote + timestamp), expected result, and minimal reproduction script (3–8 steps). Output format: JSON array where each object has fields: id,title,priority,justification,steps[s]{timestamp,action,frame},observed,expected,repro_steps. Example: include one sample bug object.
Role: You are a knowledge engineer creating KB entries from meetings. Instructions: Search the last 6 months of product and design meetings; extract up to 20 high-value Q&A pairs where a clear question was asked and a canonical answer given. For each entry provide: title (6–10 words), question (exact phrasing), canonical answer (1–3 sentences), source timestamp, speaker, and 3 tags. Few-shot examples: 1) Title: "API rate limit defaults"; Question: "What's the default rate limit?"; Answer: "200 requests/min for paid tiers, 60 for free."; Timestamp: 2026-03-02T09:12:00Z; Speaker: Raj; Tags: api,rate-limits,docs. Output format: JSON list of entries.
Choose Rewind.ai over Otter.ai if you need long-term, visual screen replay tied to transcripts for precise context during investigations.
Head-to-head comparisons between Rewind.ai and top alternatives: