PDF data extraction

A huge amount of important data arrives as PDFs that no system can read directly. Invoices, statements, contracts, and reports land in Google Drive or Dropbox, and someone has to open each one, find the right figures, and type them into Airtable, a spreadsheet, or a system like NetSuite. The layouts differ from one vendor to the next, so the person cannot just skim; they have to hunt for each field. It is slow, it is mind-numbing, and a single mistyped number can flow downstream into a payment or a report before anyone notices. Because it is so tedious, the backlog grows, and documents sit unprocessed while the data inside them is needed elsewhere.

You describe the fields you need in plain language, and Ceven builds a workflow that watches your Google Drive or Dropbox folder and reads each new PDF as it arrives. AI steps pull out the values you named, such as the vendor, the date, the totals, and the line items, and adapt to different layouts instead of relying on a fixed template. The workflow then shapes those values into clean rows ready for Airtable, Google Sheets, or NetSuite. Because Ceven runs around the tools you already use, the files stay in your storage and the destination system keeps owning the data; Ceven simply moves the numbers between them. What comes back is a structured, reviewable batch rather than a stack of documents someone still has to key in.

Writing extracted figures into a spreadsheet or a system of record is consequential, so Ceven holds it at an approval gate. The extracted rows are shown next to what was read, so a person can verify a total, fix a misread field, and then approve, edit, or reject the batch. This catches the occasional bad read before it becomes a wrong payment or a broken report. Only after approval does the workflow write the values into Airtable, Google Sheets, or NetSuite. Every run is written to an exportable audit trail, so each extracted figure can be traced back to the document and the person who confirmed it.

You can start free with no credit card, connect the file storage and destination systems you already run, and describe the documents you process. Ceven builds the workflow across a library of more than a thousand tools, so a new document type or a new destination is a plain-language change rather than a rebuild. The same pattern covers capturing invoice data, structuring a web-sourced dataset, or cutting re-keying out of your day. Ceven does not become the system of record; your storage and your accounting or database tools stay in charge while Ceven runs the extraction around them. When a vendor changes its format, you adjust the workflow in words instead of maintaining a fragile template.