local meeting transcription for Zoom, Meet, and Teams

screenpipe automatically transcribes all audio from your meetings, calls, and conversations. local Whisper is the default, and you can also connect an OpenAI-compatible transcription server.

for the full botless meeting workflow - live transcript, speaker cleanup, calendar enrichment, summaries, copy transcript, and APIs - see meeting intelligence.

languages

cloud transcription is multilingual. pick one language in settings → recording → transcription to force it, or leave the selection empty (or pick several) for automatic detection — non-English audio is detected and transcribed in its own language, not forced to English.

multilingual transcription detecting the spoken language — auto-detects and transcribes non-English audio

setup

audio recording is enabled by default in the desktop app. configure audio devices and transcription engine in settings.

audio devices: select which microphones and system audio to capture
transcription engine: choose local Whisper, Deepgram, or an OpenAI-compatible endpoint

use a local OpenAI-compatible server

screenpipe can send uncompressed WAV audio to any server that implements POST /v1/audio/transcriptions. This keeps screenpipe’s capture and search workflow while letting a separate local runtime own transcription. Soniqo speech-swift provides the endpoint on Apple Silicon. Install and start it on macOS with:

brew install speech
speech-server --port 8080

On Linux or Windows, use a Soniqo Speech Core package that includes the same transcription endpoint. Download the model bundle, then start the server:

# Linux
speech download-models
speech serve

# Windows PowerShell, from the extracted package's bin directory
.\speech_download_models.ps1
.\speech-server.exe

In settings → recording → transcription, choose OpenAI Compatible and set:

endpoint: http://127.0.0.1:8080
model: whisper-1
send raw WAV audio: enabled
API key: leave empty for a loopback-only server, or enter the server’s bearer token

run connection test before restarting capture. the server does not need to list models; screenpipe accepts a manually entered model name.

search transcriptions

# find discussions about a topic
curl "http://localhost:3030/search?q=budget+review&content_type=audio&limit=10"

# get today's meetings
curl "http://localhost:3030/search?content_type=audio&start_time=2026-02-11T00:00:00Z"

# filter by speaker
curl "http://localhost:3030/search?content_type=audio&speaker_ids=1,2"
curl "http://localhost:3030/search?content_type=audio&speaker_name=John"

speaker identification

screenpipe automatically identifies different speakers. manage them via API:

improve speaker identification with calendar

connect your Google Calendar to significantly improve speaker identification accuracy. screenpipe uses your calendar’s attendee list to automatically name speakers during meetings — if a meeting has exactly 2 attendees, the other speaker is auto-identified without manual labeling. to enable this:

go to settings → connections → Google Calendar
authorize screenpipe to access your calendar
during future meetings, attendee names from your calendar will automatically label speakers

this works best for 1:1 meetings and structured calls. for larger meetings (3+ attendees), calendar context is tagged to your notes for later reference.

# get unnamed speakers for labeling
curl "http://localhost:3030/speakers/unnamed?limit=10"

# update a speaker's name
curl -X POST http://localhost:3030/speakers/update \
  -H "Content-Type: application/json" \
  -d '{"id": 1, "name": "John Smith"}'

# search speakers by name
curl "http://localhost:3030/speakers/search?name=john"

# merge duplicate speakers
curl -X POST http://localhost:3030/speakers/merge \
  -H "Content-Type: application/json" \
  -d '{"speaker_to_keep_id": 1, "speaker_to_merge_id": 2}'

# find similar speakers
curl "http://localhost:3030/speakers/similar?speaker_id=1"

tips

use a good microphone
reduce background noise
whisper-large-v3-turbo is faster with a small accuracy tradeoff; whisper-large-v3 is the most accurate
set language to English in settings if you only speak English (faster)

long meetings and batch sizing

by default, screenpipe batches audio for transcription in chunks. each engine (Whisper, OpenAI, Deepgram) has its own configurable batch-duration limit. if you notice meetings longer than one hour losing context between batches, you can customize the batch size in settings > advanced > batch_max_duration_secs. set to your meeting’s typical duration to preserve context across the entire recording. in smart/batch transcription mode, large meetings may be split across multiple transcription jobs. if you need full meeting context in a single batch, consider:

switching to realtime transcription (transcription happens immediately as audio is captured, trading cost/latency for guaranteed continuity)
increasing batch_max_duration_secs to match your meeting length (capped at each engine’s configurable limit)
using retranscription API to re-process a full meeting with custom settings

privacy

local Whisper and loopback OpenAI-compatible endpoints keep transcription on your device
audio files stored in ~/.screenpipe/data/
audio is sent off-device only when you select Deepgram or another remote endpoint
disable audio recording in app settings

questions? join our discord.

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local meeting transcription for Zoom, Meet, and Teams

languages

setup

use a local OpenAI-compatible server

search transcriptions

speaker identification

improve speaker identification with calendar

tips

long meetings and batch sizing

privacy

​languages

​setup

​use a local OpenAI-compatible server

​search transcriptions

​speaker identification

​improve speaker identification with calendar

​tips

​long meetings and batch sizing

​privacy

languages

setup

use a local OpenAI-compatible server

search transcriptions

speaker identification

improve speaker identification with calendar

tips

long meetings and batch sizing

privacy