AI Summarizer

Turn a 60-page report into the paragraph you actually needed

Long documents are where time goes to die. A 60-page market report, a 40-page contract, a stack of academic papers — each one technically relevant, none of them worth reading end-to-end to find the three paragraphs you care about. The OkFarsi AI Summarizer (in development) is being built to turn that wall of pages into the gist: a short summary, a bullet list of key points, and a structured takeaway section you can skim in a minute instead of an afternoon.

The tool will support multiple output formats so the summary matches how you actually read. Executive summary: two or three paragraphs of prose, suitable for a briefing. Bullet points: a flat list of the main points, one line each, ideal for skimming. Structured sections: organized by theme (e.g., Objectives, Methodology, Findings, Recommendations) — especially useful for research papers and formal reports. Question-answered: you ask "What does this report say about X?" and the tool pulls the passages that answer the question and summarizes them.

Under the hood, the summarizer will use a state-of-the-art large language model with careful prompting to prioritize faithfulness over style — the goal is a summary that accurately represents the source, not a prettier-sounding version that drifts from the original. The tool will include a citations toggle that links each claim in the summary back to the specific page in the source PDF so you can verify before trusting. And because some documents are confidential, enterprise usage will support a no-retention mode where the PDF contents are processed in memory and not sent to any provider that might retain them.

How the AI Summarizer workflow is being designed

1. Upload the PDF you want summarized

   Drop the document into the workspace. The tool estimates the reading time and the expected summary length before starting, so you know what to expect.

2. Pick the summary format

   Executive summary for a briefing, bullet list for quick skimming, structured sections for research papers, or question-answered if you have a specific focus.

3. Choose the summary depth

   Brief (one paragraph or five bullets), standard (three paragraphs or ten bullets), or detailed (section-by-section). Brief is usually enough for a first pass; detailed is better when the document is technical and you need the specifics.

4. Run the summarization

   The model reads the document, identifies the main threads, and produces the summary in the format you chose. Long documents (200+ pages) take a minute or two; most common documents return in seconds.

5. Verify against the source

   Each claim in the summary links back to the page it came from. Click any claim to jump to the supporting passage — this is essential for anything you'll rely on, because AI summaries are a starting point, not a final authority.

Planned use cases

• Research and market reports

  Pull the key findings out of a long report without reading all 60 pages, then drill into the specific sections that matter for your decision.

• Academic papers

  Get a structured summary of a journal article (objectives, methods, findings, limitations) to decide whether it's worth reading in full.

• Contracts and legal documents

  Surface the key obligations, deadlines, termination conditions, and penalty clauses from a long contract. Always verify against the original — AI summaries are a starting point, not legal advice.

• Meeting minutes and board packs

  Condense a thick meeting packet into the decisions made and the open action items, with citations back to the pages where each item was recorded.

Privacy & security

AI summarization involves sending document contents to a language model for processing, which is a meaningfully different privacy posture from the rest of our tools. When the summarizer launches, we will be explicit about which model provider is used, whether contents are logged by the provider, and how long the processing window is. For confidential documents, an enterprise no-retention mode will route requests through provider configurations that guarantee no training-data retention. Uploaded files and generated summaries will still follow our standard rule: both are removed from our servers shortly after download.

Frequently asked questions