Docsumo
DocParser
Nanonets OCR
Amazon Textract
Nanonets
Pen2txt
Pen to Print
Rossum
Meld
WinMerge
Beyond Compare
kdiff3
Araxis Merge
P4Merge
DiffMerge
Compare
Docsumo is an intelligent document processing platform for financial services firms. Docsumo helps businesses and enterprises extract data from documents, analyze that data and detect document fraud.
Docsumo’s technology reduces back-office costs by up to 70% and increases productivity by 50%. For every million documents processed by a bank at about $1 per document, DocSumo can directly save $700k. What differentiates Docsumo is that their technology can read non-standardised documents such as bank statements, invoices, pay stubs and contracts with over 99% accuracy and more than 95% straight-through processing.
Docsumo features include:-
✅Data Capture from forms, semi-structured and unstructured financial documents ✅Pre-Trained API stack for loan application, insurance compliance, invoices, supply chain management, and Commercial Real Estate applications ✅Review & edit tool that allows you to click on any text in a document to capture data without manual entry ✅Out of the box API endpoint (accessible via Settings page) & option to download CSV ✅Multiple learning mechanism to ensure maximum accuracy ✅Simple pay as you go pricing ✅Ability to customize fields from the frontend ✅Define templates for recurring documents ✅Self-train neural network on your dataset
Choose Docsumo, if you want to:- - Automate the document data extraction end-to-end - Efficiently scale your process and your business eliminating manual data entry - Reduce risk by validating data
Docsumo MeldBased on our record, Meld seems to be a lot more popular than Docsumo. While we know about 42 links to Meld, we've tracked only 2 mentions of Docsumo. 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.
Aayush here from Docsumo.com, we are a Document AI platform that empowers tech & ops teams to scale operations effortlessly by capturing, validating & analyzing unstructured documents. We recently raised $3.5 Million from Marquee investors. Source: over 1 year ago
Check out our website https://docsumo.com/ and blog https://docsumo.com/blog for more details. Source: almost 2 years ago
Even simpler: Step 1: give me your edited `.tex` file. Step 2: I selectively merge it into mine. Step 3: There is no step 3. To selectively merge, I use `meld` https://meldmerge.org/ but there are others. Benefits of this even simpler approach: - We continue to use the tools we are used to. - We and our software don't have to learn a new inline diff format. - Both files retain valid syntax before and during the... - Source: Hacker News / 6 months ago
There is also https://meldmerge.org/ which I've used on Linux and Mac before. - Source: Hacker News / 7 months ago
You've maybe tried it, but if not check out https://meldmerge.org. - Source: Hacker News / 7 months ago
While we're requesting killer features, https://meldmerge.org/ style diffs, please. - Source: Hacker News / 8 months ago
Why do you need ChatGPT? There are hundreds of diffing tools available that do this quite well. Meld is my favorite: https://meldmerge.org/. - Source: Hacker News / 10 months 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.
WinMerge - WinMerge is an open source differencing and merging tool for Windows.
Nanonets OCR - Intelligent text extraction using OCR and deep learning
Beyond Compare - Beyond Compare allows you to compare files and folders.
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
kdiff3 - KDiff3 is a file and directory diff and merge tool which compares and merges two or three text...
