Custom model training
Train extraction models on your own documents using annotated samples.
Turn invoices, receipts, and purchase orders into structured data with AI-based extraction and workflows.
Nanonets is an AI document processing platform that converts invoices, receipts, purchase orders, and other business documents into structured data. Teams train custom extraction models from a small set of samples, set rules-based approval workflows, and route uncertain fields to human review. It supports accounts payable, order processing, and reconciliation work. Finance teams, operations staff, and developers use Nanonets to cut manual data entry and push extracted data into accounting and business apps.
David F.
Professional Nurse
“Liked the accurate extraction of data into medical forms, the processing speed, and the responsive support team. Noted no major drawbacks.”
Joe C.
IT Manager
“Liked the strong invoice data extraction and how simple it was to implement. Found that model training times varied and occasional glitches appeared.”
Shannon B.
Ops
“Liked that it worked well at the start. Found that accuracy declined until it was unusable, the model did not improve, support was slow, and a prepayment refund was refused.”
Vijay S.
SE Analyst
“Liked building custom models and the automated workflow, which saved a large amount of manual time. Found the trial period could be longer.”
Muhammad A.
Business Development Manager
“Liked creating a custom model from around ten samples and the flexible deployment choices. Found output options more limited when running on-premise.”
Sidharth S.
SDE 1
“Liked the responsive support and the useful post-processing options for extracted data. Found the pricing somewhat expensive, though the return justified it.”
Mohamed A.
Systems Programmer
“Liked its integration with other apps and how accuracy improves with more data. Found manual verification during training lengthy and results weaker on varied document sources.”
Stephanie B.
Owner
“Liked how easy it was to use and the productivity gains it brought to the business. Noted no major drawbacks.”
Anoop N.
Project Manager
“Liked the AI accuracy, automation, integrations, and good support. Found pricing, variable speed, occasional bugs, setup complexity, and limited export options to be weak points.”
Eudoria S.
Marketing Coordinator
“Liked the flexible integration options with other tools. Found that the initial model training took a long time to complete.”
charles E.
Junior Purchaser
“Liked how it extracts data from complex financial reports and how responsive the vendor team was. Found customizing table extraction difficult at first.”
Mohit M.
Masters Student
“Liked the easy setup, high accuracy on invoices, and clean interface. Found that model training time varied depending on the machine used.”
Andrew S.
Quality Assurance
“Liked the user-friendly interface for uploading and working with documents. Found that the workflow setup would benefit from adding more review checkpoints.”
Jon C.
Sr. Product Manager
“Liked the custom PDF conversion setup, the fast implementation, and the responsive vendor team that helped along the way. Noted no major drawbacks.”
Pratyush S.
Student
“Liked how easy the platform was to pick up and the smooth user interface for extracting document data. Noted no major drawbacks.”
Vishrut K.
Finance Intern
“Liked the easy setup and simple interface. Found that it needs a powerful machine and runs slowly on older laptops.”
Vivek Menon M.
AI Developer
“Liked the accurate zonal extraction from documents and the ability to train custom models for specific needs. Noted no major drawbacks.”
Dhifallah O.
Data Scientist / CTO
“Liked the time savings, clear documentation, and easy model training. Found the design of the invoice OCR product could be improved.”
Marshall K.
Owner
“Liked processing around 750 PDFs a month through Zapier and the strong support. Found a small learning curve when getting started.”
Humberto M.
Technical Engineer
“Liked the easy model creation, the good documentation, and helpful support. Found that the OCR sometimes misses text it had recognized correctly before.”
Transactional document processing
AI invoice capture with validation workflows
Rules-based PDF parsing
Template parsing rules for recurring documents
Enterprise intelligent document processing
Prebuilt document skills for large teams
Developer document extraction
Pay-per-page OCR API on AWS