PDFGrid VS DocParser
Compare PDFGrid VS DocParser and see what are their differences
Changelog software that turns GitHub commits into release notes your users actually see — inside your app. Built for founders and teams who ship fast.
sponsored
PDFGrid
ExcelTool.io
Parsio.io
Tabula
DocuClipper
Pdf.to
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
DocuClipper
FlexiCapture
Parsio.io
PDFGrid extracts specific values from text-based PDFs and exports them to Excel or CSV. It's built for the case where you have a folder of documents in the same format — supplier invoices, purchase orders, delivery notes — and you need the same few fields out of every one of them.
You define each field once, either by drawing a box on the document or by anchoring to a label near the value, and those definitions become a reusable template. Apply it to the rest of the batch, review every result, then export. Nothing is guessed or predicted: the same document always produces the same values.
Everything runs in your browser and documents are never uploaded, which matters if you handle client records, financial data or anything covered by a confidentiality agreement. An account is only needed if you want to save templates between sessions.
It does not do OCR, so scanned documents and photographs aren't supported — the text has to be selectable in the PDF.
Free to use. Built for finance, accounting, operations and logistics teams who are currently retyping numbers by hand.
PDFGrid DocParserPDFGrid's answer
PDFGrid runs entirely in your browser — no upload, no server, nothing to install — and it extracts by explicit rules rather than prediction, so the same document always returns the same values.
Most tools do one or the other. Desktop applications run locally but need installing and administrator rights. Cloud services need your documents. AI extraction tools produce a different answer on a different day and give you a confidence score instead of a reason.
PDFGrid is a rule engine you can open in a tab on a locked-down machine, and whose output you can check afterwards because there is nothing probabilistic in it.
PDFGrid's answer
Choose it when your documents are text-based PDFs in recurring formats, you need the same handful of fields out of a lot of files, and you'd rather define the rules yourself than trust a model's judgement about which number was the total.
And choose it when your organisation can't send client documents to a third party at all — a constraint that rules out most of the market before accuracy is even discussed.
Practically: nothing to install, no account needed to try it, a template you build once and reuse, and every extracted value visible before you export.
PDFGrid's answer
People who receive the same kind of document over and over and need a few fields from each one in a spreadsheet — bookkeepers, accountants, accounts-payable and operations staff, logistics coordinators.
Usually not developers. There's no code, no API and nothing to install.
Usually small teams or sole practitioners rather than enterprises with a document ingestion platform. If you already have a pipeline, PDFGrid isn't trying to replace it.
And often people who can't use cloud extraction at all, because of client confidentiality or an internal policy that settles the question before anyone looks at features.
PDFGrid's answer
I needed the same handful of fields out of a lot of similar PDFs, and everything I looked at fell into one of two groups.
The hosted tools wanted the documents on their servers, which isn't an option for a lot of the documents people actually have. The ones that ran locally were either developer libraries — write a parser, then maintain it forever — or they assumed every document was laid out identically, which stops being true on about the fourth file.
So I built the thing I wanted. Draw the fields on one document, save it as a template, apply it to the rest, check the results, export. It runs in the browser because that was the only way to do it without asking anyone to install software or trust me with their files.
Built and maintained by one person in the UK.
PDFGrid's answer
Based on our record, DocParser seems to be more popular. It has been mentiond 14 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.
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: over 3 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 3 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 3 years ago
ExcelTool.io - Free online Excel tools: convert PDF to Excel, Excel to JSON, CSV, Markdown and more. View, edit and repair workbooks. 100% private - files never leave your browser.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Parsio.io - No-code email & PDF parser
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Tabula - Tabula is a tool for liberating data tables locked inside PDF files. Extract tables from PDFs.
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.