Rewind is gone.
Your memory shouldn't be.
If you used Rewind to recall meetings, search old calls, or keep a running record of your conversations — you found something genuinely useful. Losing the tool doesn't mean losing the instinct.
PARSR is built for the same core need: conversations you've had should be searchable, summarizable, and queryable for the rest of your life. It works differently than Rewind did — intentionally, not passively — and it's launching now.
What Rewind was trying to do — and what PARSR does instead
Rewind had a compelling idea: record everything on your computer and make it searchable. Every conversation, every document, every screen — all indexed so you could find it later. It was a vision of total recall.
But continuous screen recording came with an uncomfortable side effect. Rewind captured passwords typed in plain sight, private messages that scrolled past, sensitive documents opened in other windows, and anything else that appeared on your display — whether you meant to remember it or not. It was Mac-only, and it stored a compressed video of your entire screen life. The privacy tradeoffs were significant.
PARSR starts from a different premise: the conversations you choose to record are the ones worth remembering. You hit record before a meeting. PARSR captures both sides of the call via system audio — no bot joins, no screen watched. Everything else stays private. It's a different philosophy: intentional capture over passive surveillance. And it means PARSR works on phone calls, in-person meetings, and lectures — not just things that happen on screen.
What you probably used Rewind for
The three things Rewind users most relied on — and how PARSR handles each.
Recalling what was said in a meeting
"What did we actually agree to?" PARSR records both sides of any call or meeting — without a bot joining — transcribes it with speaker diarization, and auto-generates a summary with action items. You can go back to any meeting and read exactly what was said, or ask PARSR to pull out a specific decision.
Finding a detail from a call weeks ago
"Didn't someone mention a number in that call last month?" PARSR's semantic search uses 1024-dimension embeddings so searches find meaning, not just matching words. Type a concept, not a keyword, and PARSR surfaces the recording — even if none of those exact words were spoken.
Searching across multiple conversations
"What have we said about pricing across all our sales calls?" PARSR's cross-recording Q&A lets you ask questions across your entire history. It draws from every recording you've captured and assembles a synthesized answer — not a list of clips to watch.
What you had. What you'll have again.
~ = Rewind had a version of this feature; ✗ in the Rewind column = not available (product is shut down)
What PARSR does differently
You decide what gets recorded.
PARSR captures conversations you choose — not your entire screen, not your browsing history, not your passwords. Start recording before a meeting. PARSR captures both sides of the call via system audio. When you stop, everything that wasn't recorded stays private. Full stop.
Cross-platform from day one.
PARSR is launching on Windows first, with iOS and Android following close behind and macOS in development. Rewind was Mac-only — and if you were on Windows, you had no option at all. That changes now. Your recordings sync across devices so your memory travels with you.
Semantic understanding, not screen indexing.
Rewind indexed screenshots and audio fragments. PARSR builds a 1024-dimension semantic embedding for every recording using Mistral's embed model — so you can ask "when did we decide on the Q2 deadline?" and it surfaces the answer even if those exact words were never spoken. Search finds meaning, not text.
Proactive synthesis, not just clip retrieval.
Ask PARSR to surface everything you've ever discussed on a topic, pull the action items from last month's calls, or trace a decision across multiple meetings. It assembles answers across your entire history using Llama via Groq — not a list of clips to rewatch. An actual, sourced answer.
Intentional capture vs. passive surveillance
Rewind's passive model was its biggest feature — and its biggest liability. Record everything, index everything, search everything. But passive recording means your system is always watching: every document you open, every private message that appears, every password you type. You can't un-capture something that was captured without you meaning to.
PARSR's intentional model starts from the opposite assumption: your attention is a signal. When you decide a conversation is worth recording, that choice is meaningful. PARSR records that conversation — and nothing else. The conversations you capture are indexed, searchable, and queryable. Everything outside that perimeter stays outside.
This also means PARSR captures things Rewind fundamentally couldn't. An in-person meeting in a conference room. A phone call from your mobile. A lecture you attended. A voice note you recorded while walking. Rewind was limited to what happened on screen. PARSR works wherever conversations happen.
- • Always recording, all the time
- • Screen + audio captured passively
- • Captured passwords, private messages, sensitive docs
- • Mac-only
- • Limited to what happened on your screen
- • Records only when you choose to record
- • Audio-only — no screen, no browsing, no passive data
- • Captures calls, meetings, in-person conversations
- • Windows, iOS, Android (macOS in development)
- • Works wherever conversations happen
Frequently asked questions
Is Rewind AI still available?+
What happened to Rewind AI?+
What is the best Rewind AI alternative for Windows?+
Is there a cross-platform Rewind alternative?+
Does PARSR record my screen like Rewind did?+
Can PARSR search across multiple recordings like Rewind could?+
AI memory that respects your privacy — and still exists.
Intentional recording. Open-weight AI. Semantic search across everything you've captured. Free during beta.
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