DocLime

DocLime is an AI document assistant for asking questions about PDFs and other uploaded documents. Users can upload a document, chat with its content, inspect the PDF in a viewer, take notes, and receive answers backed by document references. It supports scanned PDFs through OCR, multiple PDF conversations, vision questions about screenshots, and access to frontier models from OpenAI, Anthropic, and others.

✨ Key Features

• Chat with PDFs — Upload a PDF and ask questions about its contents.
• Ground answers in documents — Receive responses backed by references from the uploaded material.
• View and manage PDFs — Search, zoom, navigate pages, and organize documents in a library.
• Work with multiple PDFs — Ask questions across several documents for cross-reference work.
• Read scanned PDFs — Use OCR to convert scanned pages into machine-readable text.
• Take notes while reading — Capture document insights alongside the PDF viewer.
• Use vision questions — Take a screenshot of part of a document and ask about its visual content.
• Use multiple AI models — Access models from OpenAI, Anthropic, and other providers.
• Chat without documents — Use the AI interface directly for general questions as well as document work.
• Protect document access — Documents are stored privately by default on the service infrastructure.

💳 Pricing

DocLime’s public pages confirm a free account path and a Pro upgrade, but the reviewed official pages do not expose a stable text price or a complete quota table. Verify the current Pro price, document limits, model limits, and any team/enterprise options before purchase. Monthly subscriptions can be canceled from billing.

⚖️ Alternatives Compared

🎯 Use Cases

• Students asking questions about textbooks and papers.
• Researchers cross-referencing several PDFs.
• Lawyers checking obligations in legal documents.
• Analysts extracting facts from financial reports.
• Professionals reviewing technical manuals.
• Readers working with scanned documents through OCR.
• Teams keeping notes alongside source documents.
• Users asking visual questions about charts or scanned pages.
• Developers evaluating document-chat workflows with different models.