Datanem
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Your documents already contain a database. Datanem gets it out.
Any document with a repeating shape, whether that's dispatch notes, invoices, purchase orders, or lab results, contains tabular data that someone is still retyping by hand. Datanem reads your documents and turns them into structured tables, one row per document, with the columns you would have chosen yourself.
How it works:
Upload: Drop in up to 250 files at once (10MB each). Supports PDF, Word, plain text, or even a photo of a printed page, we can scan anything. They don't have to be digital originals.
Agree the columns: Datanem reads a sample, proposes a table, and waits for your approval. Rename a column, drop one, or add one it missed. Save the design and the next batch reuses it. Or skip the review and let it decide.
Export: Get one row per document, downloadable as Excel, CSV, or ready-to-use CREATE TABLE and INSERT statements for SQLite, Postgres, or DuckDB. Anything the model was unsure of is flagged for you to check.
What makes Datanem different:
No fixed templates! There is no rigid template to bend your paperwork into. Datanem reads what you actually have and proposes a table to match, then keeps using it so every batch lands in the same shape.
Transparency about what it leaves out! Once a table is agreed, anything outside it would normally be dropped silently; a failure you'd never find out about. Datanem lists the values it saw but couldn't file, says how many documents carried each one, and offers to add the column.
Built for GDPR from day one! Uploads are held in an EU-only bucket and never leave it. Uploads and extracted data are deleted after 30 days on the free plan. Your documents and the data drawn from them are never used to train models.
Common use cases:
Dispatch notes, delivery notes, invoices, purchase orders, remittance advice, packing lists, bills of lading, inspection reports, lab results, application forms, and timesheets.
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Datanem's answer
Operations teams manually entering data from invoices, delivery notes, and purchase orders
Finance and accounting professionals processing remittance advice and payment records
Logistics and supply chain teams handling packing lists and dispatch notes
Quality control and lab staff working with inspection reports and test results
Anyone who receives batches of structured documents and needs them in a database or spreadsheet, fast.
Datanem's answer
No fixed templates. Datanem adapts to your actual documents. Flags uncertain values so you check a few cells, not all. GDPR-compliant with EU storage and auto-deletion. No credit card, no demo call to start.
Datanem's answer
Datanem is a UK-based startup founded by Alexander Green. The founding insight is simple but sharp: every organisation sits on folders full of documents with repeating structures: invoices, dispatch notes, purchase orders, lab results; someone, somewhere, is still retyping that data by hand.
The product was built around a core observation about how document processing actually fails in the real world. Most tools assume your documents fit a template. But in practice, paperwork varies. Suppliers format invoices differently, forms change over time, and scans come out crooked. Datanem's approach flips this: instead of forcing your documents into a rigid template, it reads what you actually have and proposes a table to match.
The other insight? Silent failure is the enemy. Traditional extraction tools drop anything that doesn't fit the template and never tell you. Datanem was built to surface those omissions explicitly, listing values it saw but couldn't file, showing how many documents carried each one, and offering to add the column. This transparency, letting you check a handful of flagged cells instead of all of them, is a deliberate design choice born from watching operations teams waste hours verifying data they assumed was complete.
From day one, the product was also built with GDPR in mind: EU-only storage, automatic 30-day deletion, and a strict policy of never using customer documents or extracted data for model training
As a writer, I've been using Basecamp for a few years now and I must say, it has been a game-changer for me. Basecamp is a cloud-based project management tool that offers a suite of features to help teams collaborate efficiently and effectively.
I started using Basecamp as a project management tool to manage my writing projects. Initially, I found it a bit overwhelming, but with time I got used to the interface and the features. Basecamp has a clean and intuitive design that makes it easy to use. The dashboard is well-organized and shows all the active projects and tasks at a glance. Basecamp has a variety of features that make it easy to manage tasks, track progress, communicate with team members, and share files.
Based on our record, Basecamp seems to be more popular. It has been mentiond 40 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.
One implementation note that cost me a wrong result: URL predicates need tighter clause boundaries than entity mentions do. Split on sentence punctuation only, and "并没有推出中文官网，其主要官网是 https://basecamp.com" flags that URL as negated — but the negation targets the Chinese site and the URL is being affirmed, one comma later. Splitting on commas as well fixed it: zero false flags across 1,416 URLs, and 74 genuine... - Source: dev.to / about 1 month ago
Products like Fullstory (analytics), Intercom (live chat), Basecamp (project management), and Shopify (eCommerce) were created based on internal tools. - Source: dev.to / 5 months ago
37 Signals [0] famously uses their own Stimulus [1] framework on most of their products. Their CEO is a proponent of the whole no-build approach because of the additional complexity it adds, and because it makes it difficult for people to pop your code and learn from it. [0]: https://basecamp.com/. - Source: Hacker News / 11 months ago
Remote work is an established term these days, but back in the days i.e. Prior to COVID or a few more years back, this term was quite alien in the developer community. Even though there were organizations like Basecamp which were working remotely for more than 20 years, the developer ecosystem was not built around the concept of working remotely or to put it in simple words, separately from your colleagues. Just... - Source: dev.to / almost 3 years ago
It's interesting, I've sampled basecamp.com and the number was 35 too, very similar variables, taking into consideration Basecamp is Older than Hey and heavily flex-box oriented. Source: about 3 years ago
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