memloom context add meeting.mkv, the viewer’s
Link file button, or the MCP add_file tool. Everything below happens on your
machine. No audio, video, or transcript ever leaves it.
The pipeline
Two stages dominate the cost: transcription runs at roughly a tenth of real time on a recent CPU, diarization at roughly half. Both run in a worker thread, so the daemon keeps answering while an hour-long video processes. Progress is reported per stage, including a live percentage while “telling the voices apart.”The queue
Recordings never transcribe inside a request. Linking one file or fifty enqueues them; the queue runs one at a time (a recognizer holds about 1 GB), reports per-file progress with cancel and resume, survives daemon restarts, and uploaded bytes are stored in memloom’s own uploads directory so playback and samples keep working. Files over about 512 MB must be linked rather than uploaded; linking is better for any large recording, since a linked file can be re-scanned from disk later.Transcripts are cached twice
The transcript cache stores the transcribed words and the diarization result under separate keys, both keyed to the file’s content hash. Re-adding an unchanged recording is free; changing diarization settings (or installing the speaker models later) reprocesses only the minutes-long diarization against the cached words, never the much longer transcription.Speakers
With the speaker models installed (fetched bymemloom audio setup), multi-voice
recordings get diarized: sections break where the speaker changes, and headings carry the
label, so recall cites from standup.mkv > 12:30 - 14:28, Speaker 2. Single-voice
recordings stay unlabeled on purpose.
In the viewer’s documents tab, every recording shows its speakers with a playable voice
sample and inline rename. Renaming rewrites only the transcript’s headings and
breadcrumbs, never the spoken words.
The voice library. Every diarized voice gets a compact numeric voiceprint (an
embedding; no audio is stored) on the document. Name a voice once and later recordings of
the same voice arrive pre-named: each new recording’s voices are compared against every
named voiceprint, and a confident match is renamed automatically. Each confirmed
recording adds another print for that person, which makes the next match more reliable.
Voices with under ten seconds of talk are never auto-named, and a wrong auto-name is
fixed by renaming; the manual name always wins.
Choosing a speech model
memloom audio models lists the catalog: Parakeet v3 is the default (25 European
languages), with smaller and Asian-language alternatives. memloom audio use <id>
switches; transcripts are cached per model, so switching back costs nothing.