
DocLD: Document Intelligence and Processing Platform
DocLD helps developers and product teams automate the extraction of structured data from unstructured documents. It is designed for businesses needing to build document-driven workflows or internal knowledge bases.
At a glance
- Category
- Data & Analytics
- Best for
- Developers, Product teams, Enterprise organizations, Technical operations managers
- Pricing
- DocLD uses a usage-based model at $0.05 per page for processing operations. A free tier is available providing 200 pages per month and free RAG chat.
- Key use cases
- Financial Document Processing, Legal Contract Analysis, Healthcare Data Management, Internal Knowledge Bases, Compliance Redaction
- Integrations
- REST API, Webhooks, JavaScript SDK, Python SDK
- Official website
- docld.com

DocLD is a document intelligence platform designed for developers, product teams, and enterprises. It converts unstructured files—such as PDFs, images, spreadsheets, and Word documents—into structured data. This is primarily handled through a REST API, though a dashboard is available for manual processing.
The platform supports a document pipeline that includes parsing content with OCR, splitting documents into semantic chunks for search, and extracting specific fields based on defined schemas. It also includes tools for modifying documents, such as redaction and watermarking, and a RAG-powered chat feature that allows users to query uploaded documents with citations.
Buyers should consider that this is an API-first tool, meaning it is intended for teams with the technical capacity to integrate it into their own software. It includes security features such as HIPAA-ready infrastructure and encryption at rest and in transit.
Key Features
Extracts text, tables, and layout from PDFs, images, and Word documents with OCR support for over 50 languages.
Pulls specific data fields from documents like invoices and contracts using custom schemas and returns results in JSON format.
Provides a conversational interface for querying documents, using retrieval-augmented generation to provide grounded answers with citations.
Supports programmatic redaction, watermarking, merging, and content sanitization.
Chunks documents into segments that respect headings and paragraphs for search and LLM retrieval.
Supports chaining parsing, extraction, and editing operations into repeatable pipelines triggered by uploads or webhooks.
Use Cases
Extracting structured data from invoices and bank statements for automated bookkeeping.
Using schema-based extraction to identify specific clauses or details during contract review and due diligence.
Processing lab reports and medical records within a HIPAA-ready infrastructure.
Converting company PDFs into a searchable RAG chat system for employees.
Using the edit tool to programmatically redact PII or add watermarks to documents before distribution.
Best For
Integrations
Pricing
DocLD uses a usage-based model at $0.05 per page for processing operations. A free tier is available providing 200 pages per month and free RAG chat.
FAQ
DocLD charges a flat rate of $0.05 per page for operations like parsing, extracting, splitting, and editing. There is a free tier that includes 200 pages per month and free RAG chat.
The platform supports PDFs, images (PNG, JPG), spreadsheets (XLSX), presentations (PPTX), and Word documents (DOCX).
While there is a dashboard for basic processing, DocLD is primarily an API-first platform designed for developers and product teams to build into their own systems.
Data is encrypted at rest and in transit. The platform offers HIPAA-ready infrastructure with BAAs available and states that customer data is not used to train their AI models.
Source category: Data & Analytics
Source subcategory: Document Automation
Software Type:
How AI is used
DocLD is an AI-powered document intelligence platform that converts unstructured PDFs and images into structured data via API. It supports parsing, schema-based extraction, and RAG-powered chat for document querying. Its API-first design requires technical implementation for full functionality.
Pros & Cons
- Flat-rate pricing per page
- Supports multiple file formats including PPTX and XLSX
- Includes a free tier for small projects
- Encryption and HIPAA-ready infrastructure options
- RAG chat functionality is included at no additional page cost
- Requires technical knowledge for full utilization via API
- Free monthly pages do not roll over to the next billing period
- SOC 2 Type II audit is in progress