Navigation Bar

Logo
AnyParser API (YC S23) - The first LLM for document parsing with accuracy and speed | Product Hunt
Badge

AnyParser: Vision LLM for Document Parsing

Parsing PDFs, PPTs, Word, and images with configurable options in a few clicks!
Video thumbnail
80% of OCR users are tired of maintaining glue code. Free up your time with unmatched accuracy, complete privacy and configurable options such as:
  • removing private identity info,
  • extract table and charts,
  • keeping footnotes and headers,
and much more!
No credit card required

Testimonials

“As a leading AI-powered job search platform, Jobright prioritizes top-tier resume parsing accuracy and low latency. AnyParser not only outperformed 10+ other parsers based on our benchmarks, but also stood out as the fastest multi-model LLM solution, all while maintaining exceptional performance.”

Ethan Zheng

Cofounder

hello

“AnyParser’s advanced multimodal AI delivers where other approaches fail. Complex documents require this fusion of sight and language.“

Jon Conradt

Principle Scientist

hello

“I’m used to research solutions all the time to offer to my students always SOTA content from diverse AI domains. Most of my students are ML practitioners that build real solutions and I’m excited I’ve found AnyParser as a great tool that helps improve retrieval accuracy in document parsing, while preserving the delicate balance between security, costs, and operational efficiency. A great and innovative tool to implement document parsing pipeline!”

Cass

Senior Scientist

hello

“I am impressed by CambioML's innovation in the space of AI and LLM, including the novel methodologies of synthetic data generation, retriever model fine-tuning in RAG, and their open-source products out of those innovations.”

Yunfei

Sr. Solution Architect

hello

“As a leading AI-powered job search platform, Jobright prioritizes top-tier resume parsing accuracy and low latency. AnyParser not only outperformed 10+ other parsers based on our benchmarks, but also stood out as the fastest multi-model LLM solution, all while maintaining exceptional performance.”

Ethan Zheng

Cofounder

hello

“AnyParser’s advanced multimodal AI delivers where other approaches fail. Complex documents require this fusion of sight and language.“

Jon Conradt

Principle Scientist

hello

“I’m used to research solutions all the time to offer to my students always SOTA content from diverse AI domains. Most of my students are ML practitioners that build real solutions and I’m excited I’ve found AnyParser as a great tool that helps improve retrieval accuracy in document parsing, while preserving the delicate balance between security, costs, and operational efficiency. A great and innovative tool to implement document parsing pipeline!”

Cass

Senior Scientist

hello

“I am impressed by CambioML's innovation in the space of AI and LLM, including the novel methodologies of synthetic data generation, retriever model fine-tuning in RAG, and their open-source products out of those innovations.”

Yunfei

Sr. Solution Architect

hello

“I am impressed by CambioML's innovation in the space of AI and LLM, including the novel methodologies of synthetic data generation, retriever model fine-tuning in RAG, and their open-source products out of those innovations.”

Yunfei

Sr. Solution Architect

hello

“It's far better than other tools! Our data analysts are able to triple their outputs.”

Jamal

CEO

hello

“I have validated the quality of AnyParser goes far beyond traditional OCR tools like Langchain / Unstructured. Looking forward to using this in our future projects.”

Steve Cooper

Cofounder

hello

“I am impressed by CambioML's innovation in the space of AI and LLM, including the novel methodologies of synthetic data generation, retriever model fine-tuning in RAG, and their open-source products out of those innovations.”

Yunfei

Sr. Solution Architect

hello

“It's far better than other tools! Our data analysts are able to triple their outputs.”

Jamal

CEO

hello

“I have validated the quality of AnyParser goes far beyond traditional OCR tools like Langchain / Unstructured. Looking forward to using this in our future projects.”

Steve Cooper

Cofounder

hello

AnyParser's Capabilities

Privacy Protection: Activate the "Remove Private Information" feature, and AnyParser will automatically redact P.I.I. during the document extraction.
You can instruct the model to include or omit page numbers, headers, footers, figures, charts, etc.
AnyParser doesn’t just extract text and tables, it also retrieves figures, charts, and footnotes packed with vital information 2X faster and 5X more cost efficient
Bid farewell to jumbled tables and chaotic layouts that plague traditional OCR-based models with a 2X more precision and 2.5X more recall than industry average.
AnyParser API (YC S23) - The first LLM for document parsing with accuracy and speed | Product Hunt
AnyParser | AI Tools

How AnyParser Works

Parse any data from any documents with straight-forward user interface
YouTube video thumbnail

01

Drag and drop the documents

Click “Upload File” to easily drag and drop the documents you want to parse, or simply paste a screenshot from your clipboard. We’ve also provided sample documentation to help you get started.

02

Edit parsing and privacy settings

AnyParser automatically categorizes various types of information, including PII (Personally Identifiable Information), footnotes, tables, and more. Just export the data you need!

03

Export results to your system

Download your data in your preferred format—whether it’s HTML, Excel, JSON, or a database schema tailored to your business workflow.

Parse data accurately

AnyParser playground is straight-forward, fast, and intuitive. Try the interface now and take a break for the rest of the day
AnyParser playground is straight-forward, fast, and intuitive. Try the interface now and take a break for the rest of the day

Build with AnyParser

AnyParser playground is straight-forward, fast, truly intuitive, try the interface now and take a break for the rest of the day
1from any_parser import AnyParser
2
3op = AnyParser(example_apikey)
4
5content_result = op.extract(example_local_file)

Footer