Nanonets
DocParser
Docsumo
Rossum
Parseur.com
DocuClipper
Bank Statement Converter
Veryfi
ParseForMe
DocParser
Parseur.com
DocuClipper
Klippa
Docsumo
Export PDF to EXCEL
Parseflow.tech
NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNetsโ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. Itโs as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: โ It reduces the amount of data needed to build a Deep Learning Model โ NanoNets handles the infrastructure for hosting and training the model, and for the run time โ It reduces the cost of running deep learning models by sharing infrastructure across models โ It is possible for anyone to build a deep learning model
ParseForMe turns documents into clean spreadsheet data โ without the setup project.
Upload a PDF, scan or phone photo. Each file is classified on arrival and read against an extraction schema built for that document type, so there are no parsing rules to draw and no templates to maintain. Review the fields, export to your own spreadsheet layout.
Bank and credit card statements, invoices, receipts, purchase orders, shipping and delivery notes, resumes, payslips and utility statements. Built for bookkeepers, recruiters, logistics and small teams doing this by hand today.
Every upload is sanitised and regenerated at ingest, and the original file is deleted seconds later. Workspaces are isolated at the database level, not by an application filter. Retention is configurable, and you can erase a workspace and everything in it on demand. Hosted in the EU.
$19 for 500 pages/month, $59 for 2,500, $199 for 10,000. 30 pages free on signup โ no credit card.
Nanonets ParseForMeNanonets is particularly recommended for businesses of all sizes that deal with large volumes of documents and require efficient data extraction and automation. Industries like finance, healthcare, logistics, and retail, which often handle invoices, forms, and contracts, can benefit significantly. It's also suitable for developers looking for an API solution to integrate OCR capabilities into their own applications.
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ParseForMe's answer:
Three things. Every extracted field carries its own confidence score, so uncertain values are flagged for review instead of passing silently into your spreadsheet โ you fix the three that matter rather than re-checking all forty. Exports land in your column layout, not ours, so there's no remapping step after the parse. And there's nothing to configure: each file is classified on arrival and read against a schema built for that document type, so the first upload returns fields with no setup at all.
ParseForMe's answer:
Price structure, mainly. Entry is $19 for 500 pages where the market entry is $39 for 100, and it's billed per page rather than per document โ a 30-page bank statement isn't priced the same as a one-page receipt. No setup fee, no sales call, no annual lock-in to reach the advertised price.
The category has split into two shapes: cheap-but-you-build-the-parsing-rules (Docparser, Parseur), and it-just-works-but-call-sales (Nanonets, Docsumo, Klippa). Neither serves someone who wants zero setup at a self-serve price under $30. That's the gap ParseForMe is built for.
ParseForMe's answer:
Next.js 15 and React on the front end; a NestJS/TypeScript API; an isolated Python 3.12 worker for document processing, orchestrated with Hatchet.
ParseForMe's answer:
Small teams doing document data entry by hand who don't have an IDP budget or an implementation project in them: bookkeepers and accounting practices, recruiters processing CVs, and small businesses and freelancers handling their own invoices and receipts. Also logistics, retail and e-commerce, and property and lettings, where the documents are routine but the volume is real. The common thread is a handful of people, recurring documents, and a specific spreadsheet the data has to end up in.
ParseForMe's answer:
ParseForMe is a product of AutonomyXAI. It started from a specific observation about the document-parsing market: the affordable tools make you build and maintain the parsing rules yourself, and the ones that genuinely work out of the box are enterprise sales processes with setup fees. Anyone with a few hundred pages a month and no implementation budget falls between them and keeps typing.
The design follows from that: a purpose-built schema per document type so there's nothing to configure, per-page pricing so light users aren't punished, and confidence scores on every field โ because if a tool is cheap and needs no setup, the fair next question is how you know it got it right.
Based on our record, Nanonets seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: about 4 years ago
Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: about 4 years ago
Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: about 4 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: over 4 years ago
We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / almost 5 years ago
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.
DocuClipper - Automate data extraction from bank statements, invoices, tax forms and more.
Klippa - Invoice and receipt processing for retail businesses