Podlog
Podlog is a free, open-source, self-hosted web app for transcribing audio, searching transcripts, and analyzing podcast metadata.
What Podlog is
Podlog is a free, open-source, self-hosted web app for transcribing audio, searching transcripts, and analyzing podcast metadata. It can ingest episodes from RSS feeds or take audio uploads through its web interface. WhisperX handles transcription, and local pyannote diarization labels speakers; users can rename or merge those labels in the UI. An optional paid pyannote.ai cloud model is another diarization choice. Hybrid search combines full-text keywords with pgvector semantic similarity. Ask AI provides streamed, citation-backed answers from the transcript library, using local Ollama by default or optional Fireworks inference. Users can play audio from transcript timestamps and export transcripts or search results as Markdown or plain text. The Meta-Analysis dashboard summarizes speaker minutes, word counts, and host-versus-guest talking time across feeds. Podlog supports Telegram and email alerts, plus an optional Telegram bot for searching, questions, transcripts, queue checks, and adding sources. The project describes its default setup as local-first, with no accounts, cloud, or telemetry. Setup requires Docker Compose V2 and a Hugging Face access token; diarization also requires accepting the pyannote model license. Published container images support linux/amd64; other architectures require building from source.
Good
- Ingests audio from RSS feeds or file uploads.
- Combines keyword and semantic transcript search.
- Ask AI answers with citations from the transcript library.
- Exports transcripts and search results as Markdown or plain text.
- Local-first by default, without accounts or telemetry.
Watch out
- Requires Docker Compose V2 and a Hugging Face access token.
- Diarization requires accepting the pyannote model license.
- Published container images support linux/amd64 only.
- Processing is CPU-only and sequential.
Who it suits
Podlog suits people who want to run podcast transcription and transcript search on their own server. It is best suited to users able to meet its documented deployment and hardware requirements.
Verdict
Podlog combines transcription, transcript search, and podcast metadata analysis in a self-hosted package. Its setup requirements and architecture support should be checked before deployment.
The facts
Each one read from Podlog's own pages, with the date it was checked.
What it does
- Analytics
- The Meta-Analysis dashboard reports speaker minutes, word counts, and host-versus-guest talking-time differences across feeds.checked 4 Oct 2026
- Ask AI
- Ask AI provides streamed, citation-backed answers from the transcript library, using local Ollama by default or optional Fireworks inference.checked 9 Oct 2026
- Audio input
- It can ingest episodes from RSS feeds or accept audio uploads, including MP3, M4A, WAV, OGG, FLAC, OPUS, AAC, WMA, WEBM, and MP4 files.checked 9 Oct 2026
- Deployment limits
- Published images support linux/amd64 only; other architectures require building from source.checked 9 Oct 2026
- Deployment requirements
- Installation requires Docker Compose V2 and a Hugging Face access token; users must accept the pyannote model license for diarization.checked 4 Oct 2026
- Exports
- Users can download search results or transcripts as Markdown or plain text, or use a print-friendly view.checked 9 Oct 2026
- Exports and playback
- Users can play audio from transcript timestamps and export transcripts or search results as Markdown or plain text.checked 4 Oct 2026
- Hardware limits
- The hardware guide lists 4-core x86-64 and 8 GB RAM as minimums, says GPU is not required, and notes processing is CPU-only and sequential.checked 4 Oct 2026
- Integrations
- Podlog supports Telegram and email notifications and an optional Telegram bot for search, questions, transcripts, queue checks, and adding sources.checked 4 Oct 2026
- License
- Podlog uses the O'Saasy License, which permits use and distribution but bars offering the software as a hosted service that directly competes with the licensor.checked 9 Oct 2026
- Local model storage
- The README says pulling all three local Ask AI models takes about 12 GB, and the first run downloads about 3 GB of Whisper and pyannote model weights.checked 9 Oct 2026
- Notifications
- Podlog supports Telegram and email alerts for episode completion or failure, with optional daily or weekly digests.checked 9 Oct 2026
- Privacy
- The project describes itself as local-first, with no accounts, cloud, or telemetry, while offering optional Fireworks remote inference.checked 9 Oct 2026
- Purpose
- Podlog is a self-hosted web app for audio transcription, search, and metadata analysis.checked 9 Oct 2026
- Requirements
- The documented prerequisites include Docker with Compose V2, a free Hugging Face account and access token, and accepting the pyannote model license for diarization.checked 9 Oct 2026
- Search
- Hybrid search combines full-text keyword search with pgvector semantic similarity.checked 9 Oct 2026
- Speaker labels
- Local pyannote diarization assigns speaker labels, and the UI lets users rename or merge speakers.checked 9 Oct 2026
- Telegram bot
- The optional Telegram bot can search, ask questions, fetch transcripts, check the queue, and add sources; it responds only to accounts on the configured allowlist.checked 9 Oct 2026
- Transcription
- Speech-to-text uses WhisperX with large-v3-turbo by default, configurable down to tiny for low-RAM machines.checked 9 Oct 2026
- Transcription and speakers
- It uses WhisperX for transcription and supports local speaker diarization, with an optional paid pyannote.ai cloud model.checked 4 Oct 2026
The company
- Maker
- The repository credits the project to @brlauuu; the linked GitHub profile identifies the maker as Đorđe.checked 9 Oct 2026
Where it runs
- Platform constraint
- Published container images support linux/amd64; other architectures require building from source.checked 4 Oct 2026
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