Three chat modes
Ask chat mode is positioned for planning the next step, Focus chat for deep analysis on a defined set of sources, and Co-work chat for structured editing in a canvas-style workspace.
docAnalyzer
docAnalyzer is a source-grounded AI document workspace for analyzing long files, citing claims to the source, and generating reusable outputs. It supports multiple chat modes, OCR, broad file import, and subscription plans for individuals, teams, and enterprises.
Overview
docAnalyzer is a source-grounded AI document workspace for reading, analyzing, and transforming long documents. It is designed for users who need more than a chat box: the product keeps context across turns, cites claims back to the source, and can generate downloadable artifacts that continue working in later steps.
The site positions the product for expert practitioners handling PDFs, contracts, research files, and other document-heavy workflows. It supports multiple chat modes, 30+ models in one interface, OCR for scanned pages, and a range of upload formats including PDFs, Word documents, PowerPoint, OpenDocument files, spreadsheets, markdown, plain text, HTML, and URLs.
Core features
Multi-model workspace
The platform offers 30+ models from providers such as OpenAI, Anthropic, Google, and xAI in one interface, with support for switching models mid-thread without restarting the conversation.
First-class downloadable artifacts
The system generates downloadable outputs such as PDFs, spreadsheets, charts, diagrams, ZIP bundles, and HTML, and those artifacts can be reused in later turns.
Source-grounded answers with citations
Citations are tied to the source page or section, and the interface is designed to keep answers grounded in uploaded documents rather than relying on generic chat responses.
Automatic OCR
Automatic OCR runs during upload for scanned or image-based pages, making the extracted text searchable without consuming credits.
Team and enterprise controls
Team and enterprise plans add shared workspaces, collaboration features, SAML sign-on, designated support, and tailored AI agents and automation.
Common use cases
Contract and policy review
Review long contracts or policy documents while keeping every answer tied to the exact page or section where the source text appears.
Multi-document research
Analyze large research sets, web pages, and uploaded files together when you need synthesis across many sources rather than a single file chat.
Prepared outputs for client or internal work
Turn document findings into reusable deliverables such as PDFs, spreadsheets, charts, diagrams, or bundles that can be refined over multiple turns.
Scanned document extraction
Use OCR to make scanned PDFs and image-based pages searchable before extracting data or validating the contents.
Team document workflows
Collaborate in team workspaces with shared credits, shared chatbot deployments, and seat management when multiple people need access to the same document set.
Pros and Cons
Pros
- Keeps answers tied to cited source passages, which supports auditability and verification.
- Combines multiple document formats and supports OCR for scanned pages.
- Offers several chat modes for planning, analysis, and structured editing.
- Provides downloadable artifacts that can be reused across turns instead of restarting work from scratch.
- Supports 30+ models in one interface, including the option to bring your own key on paid plans.
Cons
- Advanced workflows such as premium models, OCR, large datasets, API calls, and automation can consume credits.
- The source material does not show every integration or export format in detail, so some workflow specifics are not fully documented on the site pages provided.
FAQ
Can I cancel my plan anytime?
Yes. The pricing page says monthly plans can be canceled anytime, and access continues until the end of the current billing period.
How is my document data handled?
Documents are stored encrypted on docAnalyzer’s infrastructure. When you chat, the system sends only the relevant document chunks to the AI vendor used by your plan, and the site says vendors are not allowed to train on your data.
What happens when I run out of credits?
Credits are used by some operations such as premium AI models, large datasets, OCR, and high-context queries. If you run out, basic chats keep working, while premium models and large datasets pause until the next billing cycle; you can also buy one-time credit bundles.
What file types can I upload?
docAnalyzer supports PDFs, Word documents, PowerPoint, OpenDocument files, RTF, EPUB, Excel spreadsheets, markdown, plain text, HTML, and URLs. CSV and JSON are available in experimental mode.
How do team plans work?
Team plans bill per seat and provide a shared workspace, shared chatbot deployments, and shared credits. Seats can be added or removed, and the next invoice is prorated.
Quick Facts
- Category
- AI document workspace
- Source domain
- docanalyzer.ai
- Primary use
- Source-grounded document analysis and transformation
- Supported inputs
- PDF, Word, PowerPoint, ODT/ODP, RTF, EPUB, Excel, markdown, text, HTML, and URLs
- OCR
- Automatic OCR on scanned or image-based pages
- Plans
- Free and paid subscription plans, with team and enterprise options
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