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Datanem
Documents in. Database out.
Datanem is a powerful data extraction software that transforms unstructured PDFs, scans, and images into clean, structured databases and spreadsheets. Users can upload whole batches of documents, automatically extract key fields, customize columns, and export data directly into Excel, CSV, SQL, JSON, JSONL, or Python scripts. Designed to eliminate manual data entry, it streamlines document processing workflows for finance, operations, and data teams.
Top comment
DATANEM is a document extraction tool that converts PDFs, scans, images and Word documents into structured datasets. Users can customise fields, organise information into tables and export data to spreadsheets or databases. Built to reduce manual data entry, it offers a free document trial without an account. I built it because I had hundreds of invoice images to work through for grant reporting. Copying the information into a spreadsheet by hand would have taken weeks. I could see the details I needed, but getting them into a usable dataset was another job entirely. I work in data and IT for a non-profit, and I am the founder and solo developer behind DATANEM. The product started with that practical problem: how do you turn information spread across documents into something you can actually use?
About Datanem on Product Hunt
“Documents in. Database out.”
Datanem was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #145 on the daily leaderboard. Datanem is a powerful data extraction software that transforms unstructured PDFs, scans, and images into clean, structured databases and spreadsheets. Users can upload whole batches of documents, automatically extract key fields, customize columns, and export data directly into Excel, CSV, SQL, JSON, JSONL, or Python scripts. Designed to eliminate manual data entry, it streamlines document processing workflows for finance, operations, and data teams.
On the analytics side, Datanem competes within Productivity, Spreadsheets and Database — topics that collectively have 674.1k followers on Product Hunt. The dashboard above tracks how Datanem performed against the three products that launched closest to it on the same day.
Who hunted Datanem?
Datanem was hunted by Alexander Finlay Green. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Datanem including community comment highlights and product details, visit the product overview.