Everything you need to turn talk into memory
One pipeline serves meetings, uploads, voice notes, and text notes — producing the same structured, source-grounded memory.
Unified capture
Record, upload, dictate, or write a note. The user never decides “meeting vs note” — they just capture.
Multilingual transcription
A strong multilingual ASR engine transcribes audio; the language is detected and preserved.
Single-pass extraction
One AI call returns summary, decisions, tasks, risks, people, projects, and topics — in the entry’s language.
Structured memory objects
Decisions, tasks, risks, people, projects, and topics become first-class records you can filter and reuse.
Full-text + semantic search
Keyword and multilingual vector search across every entry and object, with “why it matched.”
Memory chat with citations
Ask questions in any language; answers cite their source and decline when evidence is insufficient.
Decisions view
A dedicated decisions surface with rationale, participants, dates, and links to the source entry.
Project timelines
Chronological view of entries, decisions, tasks, and risks for each project.
Localization + RTL
A fully localized interface, with right-to-left layout support on the roadmap.
One pass. Seven kinds of memory.
Instead of chaining many AI calls, qpNote runs a single structured extraction. It is faster, cheaper, and keeps every object traceable to its source.
Speech to text — then the audio is gone
A strong multilingual engine transcribes your audio and detects the language. Text notes skip this step entirely. Once processed, raw audio is deleted.
Built multilingual from day one
The architecture is multilingual by design, with quality proven first in a few launch languages and right-to-left support on the roadmap. Your interface language is independent of the language you capture in.
Never lose a decision again
Join founders and teams capturing meetings and quick notes in their own language. Useful after your very first entry.