AI platforms
Chunkr
Transform complex documents into high-quality, LLM-ready structured data
What is Chunkr?
Chunkr is a Document Intelligence API designed for parsing, data extraction, and document pipelines.It efficiently converts complex file formats such as PDFs, images, and spreadsheets into HTML, Markdown, or JSON formats that are ready for Large Language Models (LLMs).
By integrating OCR, layout detection, reading order recognition, bounding box localization, and citation extraction, Chunkr ensures that data extracted from unstructured documents is both accurate and contextually relevant.Additionally, it supports schema-based data extraction, helping developers build more robust document processing pipelines.
Key features
- Multi-format ParParses PDFs, images, and spreadsheets into LLM-friendly HTML, Markdown, or JSON formats.
- Advanced OCRBuilt-in optical character recognition accurately extracts text content, even under complex backgrounds or layouts.
- Layout & Order DAutomatically detects document layout and determines the correct reading order to maintain logical coherence.
- Bounding Box LocProvides precise bounding box coordinates, making it easy to highlight or locate specific data snippets in the original document.
- Citation ExtractAutomatically identifies and extracts citations from documents, enhancing data traceability and credibility.
- Schema-based ExtAllows users to define data structure schemas to precisely extract fields and data that meet specific requirements from documents.
How to use it
- 1.Sign up for a Chunkr account and obtain your API key.
- 2.Prepare the document files you need to process (PDFs, images, or spreadsheets).
- 3.Call the Chunkr API, upload the document, and specify the desired output format (HTML/Markdown/JSON).
- 4.(Optional) Configure schema-based extraction rules to retrieve specific data fields.
- 5.Receive and process the returned structured data, integrating it into your application or LLM workflow.
Where it fits
- RAG Knowledge BaClean and convert large volumes of unstructured documents into structured data to enhance knowledge retrieval for Generative AI.
- Financial DocumeAutomatically extract key amounts, dates, and entity information from invoices, receipts, and financial statements.
- Legal Document AParse contracts and legal files to extract clauses, citations, and key obligations, assisting in legal review processes.
Pricing and free quota
Pricing and any free quota follow the official site.
Who it is for
- AI Application Developers
- Data Engineers
- Enterprise Automation Teams
- Legal and Financial Analysts
FAQ
Which file formats does Chunkr support?
Chunkr supports parsing PDFs, image files, and spreadsheets.
What output formats are available?
You can choose to convert documents into HTML, Markdown, or JSON formats to better fit LLM inputs.
What is schema-based extraction?
Schema-based extraction allows you to predefine data structures, and Chunkr will precisely capture corresponding field values from documents, which is suitable for standardized data entry scenarios.