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Local-first audio workspace

Turn long audio into searchable memory.

Import locally, transcribe on your own mere.run node, and search every word, without shipping your audio to a hosted service.

mere.media is invite-only right now. Join the waitlist on mere.world and we will open workspace access from there.

Field recording, fisheries policy roundtable 1h 20m ready
  • 12:18
    Speaker C

    The action item is to tag source confidence, speaker confidence, and whether the quote can be reused.

  • 18:14
    Speaker B

    Search should bring back the policy context even when the user only remembers the phrase cooperative reporting.

  • 25:19
    Speaker A

    Keep lexical search visible because embeddings can lag behind local transcription on a long recording.

Library

Long audio, made scannable.

Talks, calls, interviews, audiobooks, and field recordings settle into one workspace with transcript status, segment counts, import history, and source-linked search.

Workflow

01 ingest

field-recording.m4a

local
02 transcribe

whisper-large-v3

running
03 segment

128 segments

ready
04 search

jump to the second it was said

private
mere-media import file ./recording.m4a

The CLI owns local processing. The browser is the ledger and search surface.

Private by default

Your transcripts are not a public corpus.

Audio is transcribed on your own mere.run node. The workspace syncs transcripts, segments, and search state; the media itself never has to leave your machine.

Join waitlist on mere.world