docAnalyzer.ai
A source‑grounded AI workspace for expert practitioners that converts large, mixed-format document libraries into production-ready artifacts (PDFs, spreadsheets, charts, bundles) with strict, traceable citations and multi-model support.
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Review official source →Quick Overview
Best for: Research
What it does
B2B software for decision-makers comparing workflow fit and alternatives.
Best fit
Research
Pricing snapshot
Freemium from Free
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docAnalyzer.ai
docAnalyzer is a source‑grounded AI workspace built to turn large, mixed-format document collections into production-ready deliverables for expert practitioners and teams. Unlike single‑query 'chat with PDFs' demos, the product preserves addressable artifacts across a session so outputs (spreadsheets, PDFs, charts, diagrams, bundles) can be generated, reused, combined, and downloaded. The platform emphasizes multi-step, agentic workflows—retrieve, read, refine, re-check—so answers are grounded in sources and include clickable citations that open the exact page or section.
The product supports large datasets and long sessions by searching libraries in rounds (not constrained by a single model context window), provides OCR for scanned pages, offers three chat modes (Ask, Focus, Co-work), and exposes 30+ models from about a dozen providers under a single plan. The site targets professional use cases such as contract review, auditing, and other workflows that require auditable outputs and reproducible history compaction.
AI that works with your documents
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Claim this listing for $29Key Features
Workspace with persistent, addressable artifacts
Outputs generated during a session (spreadsheets, PDFs, charts, diagrams, bundles) are retained and can be referenced, converted, combined, or reused across turns rather than being ephemeral chat answers.
Multi-format output and file support
Generates and exports first-class outputs (PDF, XLSX, HTML, charts, diagrams, ZIP bundles) and supports PDFs, Word, PowerPoint, OpenDocument, RTF, EPUB, Excel, markdown, plain text, HTML, and (experimentally) CSV/JSON.
Multi-model access
Access to 30+ models across roughly a dozen providers in a single interface with the ability to switch models mid-conversation without losing context.
Three chat modes
Ask mode for planning next steps, Focus chat for deep analysis on defined sources, and Co-work chat for refining outputs within a structured canvas editor; knowledge carries between modes.
Citation discipline and context-adherence control
Every cited claim is a clickable reference to the exact page/section; a context-adherence control lets users tighten grounding for high‑accuracy, source-bound work.
OCR and multilingual document handling
Scanned pages are OCR'd automatically (40+ languages out of the box) and the chat can reply in the language used; a single library can mix documents in many languages.
Batch workflows and deterministic history compaction
Batch workflows provide per-document passes and structured results; long sessions remain coherent via predictable history compaction rather than ad‑hoc re-summarization.
Data isolation and non-training guarantee
Customer content is not used to train models; workspaces are tenant‑isolated and artifacts are session‑scoped.
Pricing
The free tier covers everyday document Q&A and the core workspace; paid tiers unlock larger limits, premium models, batch workflows beyond included credits, and team workspaces.
Free
Free- Covers everyday document Q&A and core workspace functionality
- Good for exploratory use and small jobs
Paid tiers
Varies — see pricing page- Larger per-file, per-page, and storage limits
- Access to premium models, batch workflows beyond included credits, and team workspaces
Use Cases
Contract review at scale
Automate extraction and structured review across hundreds of long business agreements (case study: 350 agreements reviewed in four weeks instead of three months).
Audit-ready deliverables
Produce spreadsheets, PDFs, and bundles with per‑claim citations that open to the exact source page for regulatory or audit purposes.
Comparative screening and summarization
Compare résumés to job postings, summarize terms of service or medical literature, and interact with many large files at once for research or professional study.
Large corpus Q&A and research
Search and analyze hundreds of long PDFs and mixed-format datasets using iterative retrieval rounds so the working set is sized to the question rather than the whole corpus.
Integrations
Multiple LLM providers
Access to 30+ models across roughly a dozen providers from a single interface; switch models mid-thread without restarting the agent.
Web pages by URL
You can pull in web pages by URL for analysis alongside uploaded documents.
Data format interoperability
Exports and supports many formats (PDF, XLSX, HTML, CSV/JSON experimental) to integrate outputs with downstream tools or workflows.
Benefits
Limitations
Frequently Asked Questions
What file types do you support?
How are citations enforced?
Is my data used to train models?
Can I switch models mid-conversation?
How big a document or dataset can I work with?
What languages can I work in?
What's free and what's paid?
Getting Started
- 1 Sign up for a free account (no credit card required; 'Your first session is ready in 30 seconds').
- 2 Upload documents (PDFs, Word, PowerPoint, Excel, OpenDocument, EPUB, markdown, HTML, etc.).
- 3 Start a session and choose a chat mode (Ask, Focus, or Co‑work), ask questions or run batch workflows.
- 4 Generate and download artifacts (PDF, XLSX, charts, bundles) and reuse them across turns.
Support
Docs
Product documentation is available from the site's 'Docs' link.
FAQ
Frequently asked questions available on the site.
API reference
An API reference is listed in the site menu/footer for developer integration details.
Service Status
Service status page is available from the site menu/footer.
API
API reference page on the docAnalyzer site (see 'API reference' in the menu/footer).
Per-tier limits (per-file size, page count, total storage, per-day prompt usage) are listed on the pricing page; no numeric rate limits are specified on this page.
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