AI Documents

Stop reading 60 pages to find the one clause that matters

Upload contracts, research, reports and statements, then ask questions and get answers pointing back to the exact section they came from.

What is the AI Document Analyzer?

AI Document Analyzer is built for structured, lengthy documents. You upload a PDF, a report, a contract, a policy or a spreadsheet, and it reads the whole thing before you start asking questions. Answers cite where they came from, so verification is a click rather than a search.

The distinction from AI Vision is about shape rather than file type. Vision looks at pictures and answers what is in the frame. The document analyzer follows layout and structure across many pages: sections, defined terms, tables, appendices and cross-references. It is the tool for the thirty-page agreement, not the photo of a receipt.

Practical strengths are summarisation, targeted question answering, comparison between two versions, and pulling structured data out of prose. The honest weakness is that it is an aid to reading, not a substitute for professional judgement. It does not give legal, medical or financial advice, and consequential decisions still need a qualified human reading the source.

Capabilities

What you can do with the AI Document Analyzer

Summarise a long document at a chosen level of detail
Answer specific questions with citations to the source section
Extract structured data such as dates, parties, amounts and obligations
Compare two versions of a document and list what changed
Flag unusual or missing clauses relative to what you asked it to look for
Translate or explain dense technical language in plain terms
Work across a set of documents at once and answer across all of them

How it works

Using the AI Document Analyzer

  1. 01

    Upload the document set

    One file or several. Text-based PDFs work best; scanned images are read but with lower fidelity on small print.

  2. 02

    Start with a structural summary

    Ask what the document covers and how it is organised. That orientation makes your later questions much sharper.

  3. 03

    Ask targeted questions

    Name the thing you care about: notice periods, payment terms, exclusions, assumptions, sample size. Follow the citations.

  4. 04

    Extract what you need

    Request a table of the key fields, then paste it into your own system of record.

Examples

What good input and output look like

AI Document Analyzer

Live demo1/2
You

You attach + ask

service-agreement.pdf — 41 pages

AI

AmmarAI writes

Contract review prep

Input

Upload: 41-page service agreement. Question: list every obligation with a deadline attached, and cite the clause.

Output

Obligations with deadlines (11 found): 1. Supplier delivers implementation plan — 10 business days from Effective Date (cl. 3.1) 2. Customer nominates project lead — 5 business days from Effective Date (cl. 3.4) 3. Supplier reports uptime monthly — 5th of each month (Schedule 2, §1.2) 4. Customer raises service credits claim — within 30 days of the incident (Schedule 2, §4.1) 5. Either party notifies renewal intent — 60 days before term end (cl. 9.2) Two of these sit in the schedules rather than the body: Schedule 2 §1.2 and §4.1.

Research triage

Input

Upload: six academic PDFs. Question: which of these use a sample smaller than 100, and what do they measure?

Output

Three of six papers use n < 100: • Okafor et al. (2023), n = 62 — measures task-completion time and error rate (p. 7) • Lindqvist & Barr (2021), n = 48 — measures self-reported cognitive load, NASA-TLX (p. 4) • Mehta (2024), n = 91 — measures 30-day retention and session frequency (p. 12) The remaining three range from n = 240 to n = 1,410 and all measure conversion rather than behaviour.

Key features

What the tool gives you

Cited answers

Every answer points at the section it came from — no trust required.

Multi-document questioning

Ask one question across a folder of documents and get a consolidated answer.

Structured extraction

Turn prose into a table of fields you can use elsewhere.

Version comparison

Identify substantive differences between two drafts, not just textual diffs.

Plain-language explanation

Rewrite dense passages so a non-specialist can understand what they commit to.

Who it is for

People who get the most from this

Operations and procurement

Get through supplier agreements and policies fast enough to keep the process moving.

Researchers and students

Triage a reading pile and find the papers that actually address the question.

Finance teams

Pull recurring figures and terms out of statements and contracts without manual re-keying.

Founders

Understand an agreement well enough to ask your lawyer the right questions.

Workflows

Practical ways teams use it

Pre-legal contract read

Summarise the agreement, extract obligations and unusual terms, and send your lawyer a focused list instead of the whole file.

Literature review

Upload the paper set, extract method, sample and finding for each into a comparison table, then read the three that matter in full.

Policy rollout

Turn a long internal policy into a plain-language summary and an FAQ that people will actually read.

Tips that improve results

  • Ask for the citation every time. An answer without a source is a hypothesis.
  • Upload text-based PDFs rather than photographs of pages where you can.
  • Ask what the document does not say. Missing terms are often the risk.
  • For extraction, specify the exact fields and format you want returned.
  • Read the clauses that matter yourself once you have found them.

Mistakes worth avoiding

  • Treating a summary as a substitute for reading a legally binding clause.
  • Uploading a poor scan and trusting numbers pulled from small print.
  • Asking vague questions of a long document and getting a vague answer back.
  • Uploading confidential material without checking your organisation's policy on doing so.

AI Document Analyzer FAQ

What file types can I upload?

Common document formats including PDF, Word documents, plain text and spreadsheets. Text-based files produce the most reliable results; scans depend on image quality.

How long can a document be?

Long documents are supported, with page and size limits set by your plan. Very large sets are best analysed in logical groups.

Does it cite its answers?

Yes, answers reference the section they came from, so checking one takes a moment. Always follow the citation on anything consequential.

Can it give legal or financial advice?

No. It helps you read and understand documents faster and prepare better questions. Decisions with legal or financial consequences need a qualified professional.

Can it compare two contracts?

Yes. Upload both and ask what differs substantively, which surfaces meaning changes rather than only textual edits.

Try the AI Document Analyzer free

One AI for everything you create. Start on the free plan and upgrade only when the volume demands it.