easybits VS Nanonets
Compare easybits VS Nanonets and see what are their differences
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easybits
DocParser
Mindee
Parseur.com
Docsumo
Microsoft Azure
Abby.gg
Rossum
Nanonets
DocParser
Docsumo
Rossum
Parseur.com
DocuClipper
Bank Statement Converter
Veryfi
easybits Extractor is a verified community node for n8n that extracts structured data from any unstructured document. Point it at PDFs, images, scans, invoices, receipts or contracts, describe the fields you need in plain language at extractor.easybits.tech, and get clean, branchable JSON back.
Two engines cover every case: a General engine (Gemini) for broad understanding and a Specialized OCR-optimized engine (Mistral) for dense scans.
The free plan covers 10 fields per workflow and 50 API requests/month โ enough to build and ship a real workflow.
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
easybits NanonetsNanonets 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.
easybits's answer
n8n users and automation builders โ ops, finance, and no-code teams who need to turn documents (invoices, receipts, contracts, forms) into structured data inside their existing workflows. It's especially useful for SMBs and agencies automating document-heavy processes without a dedicated ML team.
easybits's answer
easybits Extractor is a verified n8n community node, so document extraction lives natively inside your workflow instead of behind a separate API you have to stitch in. You describe the fields you need in plain language at extractor.easybits.tech โ no prompt engineering, no training data โ and get clean, structured JSON back. Two engines cover every document: a General engine (Gemini) for broad understanding and a Specialized, OCR-optimized engine (Mistral) for dense scans.
easybits's answer
Most extraction tools are standalone platforms you have to integrate. easybits is built for n8n from day one, so it drops straight into the automations you already run โ accounts payable, onboarding, CRM enrichment. It's fast to set up (define fields in plain language, no model training, no complex tech setups), returns structured output you can branch on directly, and has a genuinely usable free plan โ 10 fields per pipeline and 50 API requests/month โ so you can build and ship a real workflow before paying anything.
easybits's answer
easybits is built by easybits GmbH in Berlin. We kept hitting the same wall in n8n projects โ getting clean data out of messy documents meant brittle prompts or heavyweight external tools. So we built the extractor we wanted: a native, verified n8n node that just returns structured data. From builders for builders.
easybits's answer
Built as a native n8n community node (TypeScript/Node.js). Extraction is powered by two model engines โ Google Gemini (General) and Mistral (Specialized/OCR).
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.
Mindee - Extract any data point, from any document, in a second
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.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.