readability-read-aloud-web-pdf-ai-summary
Free · Open source
Users wanting distraction-free reading
OpenBrief
FreeOpen SourceAPISelf-Hosted
Every cloud transcription service—NotebookLM, Read.ai, Otter—requires you to hand over the recording, which makes them a non-starter the moment an NDA or a sensitive research participant is in the room. OpenBrief processes everything locally, on your machine, with no account and no upload.
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Get This Tool
License: AGPL-3.0 Commercial ok; derivatives must share license
Local-run terms: Users can download, build, and run OpenBrief locally for personal use and internal tools. AGPL-3.0 requires that any modifications or network deployment of modified versions must be released under the same license. Commercial SaaS deployment requires compliance with AGPL terms or licensing negotiation.
Screenshots 1
Pricing
- Model
- Free
Summary
The workflow is a single desktop session: import a local file or supported web link, generate a transcript (pulling existing captions when available to skip unnecessary processing), ask questions grounded in the transcript, and export a clean Markdown file. Nothing leaves your device. That privacy guarantee is the product — not a feature tier. Where it breaks: this is a one-shot summarization and Q&A tool, not an agent. It does not connect to calendars, trigger follow-up tasks, or push notes anywhere automatically. Teams that need downstream automation — routing action items into Notion, Slack, or a CRM — have to handle that export step themselves.
Bottom line: The right call for a researcher processing confidential interviews or a team that cannot touch cloud services — a poor fit if your workflow ends with 'now push this summary into three other systems automatically.'
Find your fit
Before you choose OpenBrief
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Skimlane
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Pros
- All processing stays on-device with no account required, so recordings covered by NDAs or participant confidentiality agreements never touch a third-party server.
- BYOK model integration means you choose the LLM provider and pay your own API costs directly — no markup, no vendor lock-in to a single model, so swapping providers when pricing changes is a configuration edit.
- Captions-first transcription pulls existing captions before running a full transcription pass, so you avoid unnecessary API calls and get output faster on content that already carries captions.
- Q&A answers are grounded in the transcript, which means you get citations back to what was actually said rather than a model synthesizing outside its source.
- Markdown export delivers a portable file you control — summaries, timestamps, and notes move into any downstream tool without reformatting.
Cons
- There is no automation layer after the export step: action items, decisions, and summaries land in a Markdown file and stop there. Teams that need notes pushed into Notion, Jira, or a CRM build that connection manually — or switch to a cloud tool like Read.ai that ships those integrations.
- BYOK means you are responsible for API key management, provider selection, and any costs that come with heavy usage. Users who want a managed, zero-configuration experience — where the LLM is already wired in — will find the setup friction real before the first transcript runs.
- The tool is scoped to summarization and Q&A on a single source at a time. There is no cross-source synthesis, no batch processing across a library of recordings, and no way to ask a question that spans multiple files — a gap that becomes visible the moment a researcher wants to compare themes across a dozen interviews.
About
- Platforms
- Mac, Windows, Linux
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- June 9, 2026
Best For
Who it's for
- Researchers and professionals handling confidential or sensitive recordings
- Content creators managing personal video backlogs and learning materials
- Teams that need privacy and want to keep processing on-device
- Users comfortable with bring-your-own-key (BYOK) API integrations
- Organizations evaluating open-source alternatives to NotebookLM or Read.ai
What it does well
- Summarizing research calls and interviews without uploading to a SaaS platform
- Creating timestamped briefs from lectures and product demonstrations
- Organizing a personal library of videos and screen recordings with searchable transcripts
- Extracting and exporting actionable notes from long-form audio and video content
- Confidential or NDA-protected content that cannot be processed by cloud services
Integrations
Frequently Asked Questions
- Is OpenBrief free?
- OpenBrief offers a free option. Hosting, model usage, or optional services may have separate costs; check the pricing details and official terms.
- Is OpenBrief open source?
- Yes. OpenBrief is open source.
- Does OpenBrief have an API?
- Yes. OpenBrief exposes a developer API. See the official documentation at https://openbrief-phi.vercel.app for details.
- Can I self-host OpenBrief?
- Yes. OpenBrief supports self-hosting on your own infrastructure.
- When was OpenBrief released?
- OpenBrief was first released in 2026.
- What platforms does OpenBrief support?
- OpenBrief is available on: Mac, Windows, Linux.
Most transcription tools treat privacy as an afterthought bolted onto a cloud pipeline. OpenBrief flips that: the entire pipeline runs on your machine. You open the app, add a source — a local recording or a supported web video — and work through transcript generation, summarization, and Q&A without leaving a single workspace. Summaries and chat answers stay grounded in the transcript text, so answers cite what was actually said rather than hallucinating context. The export target is Markdown, which you take wherever you need it.
The differentiating design choice is the ‘captions first’ approach: OpenBrief uses existing captions when they are available and only runs transcription when it must. For lecture recordings or YouTube-sourced demos that already carry captions, this means faster output without burning through API quota. The vendor describes the tool as bring-your-own-key (BYOK), meaning you supply your own LLM provider credentials — you control which model runs and you own the API relationship.
OpenBrief fits tightly into a specific scenario: a single user or small team processing recordings that cannot go to a SaaS platform. Researchers handling NDA-covered interviews, product teams reviewing confidential demos, or individuals building a personal library of searchable lecture recordings are the natural home. The ceiling appears when a workflow requires automation beyond the export step — there is no built-in routing, no webhook, no calendar or CRM integration. Teams that need those connections will build a wrapper around the Markdown export or evaluate a different tool entirely.
The desktop app ships for Mac, Windows, and Linux. The source code is released under AGPL-3.0 and the repository is actively maintained. No account is required to start — install the app, add provider keys, and the library is ready.
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