Convert the emailed PDF documents from suppliers received today into editable Excel files, extract vendor name, invoic…
Open the PDF file containing the data you want to extract in Adobe Acrobat.
Go to the Tools pane and select Export PDF.
Choose a structured export format such as Spreadsheet or XML to facilitate custom parsing.
RecommendationSelecting a structured format makes it easier to apply custom logic to the exported data.
Export the file and save it to your local system.
Write a custom script or program (using Python, JavaScript, etc.) to parse the exported file according to your specific data extraction rules.
Best practiceUsing Python libraries like pandas or openpyxl can simplify parsing and transforming complex data structures from exported spreadsheets.
Run your script to extract and process the desired data from the exported file.
After exporting your PDF to a structured format, you can use your own code to extract exactly the data you need.
This runs in the Acrobat app - there is no separate API for this task.
You create a set of instructions (usually in JSON) that tells the API what patterns or areas to look for in your PDF, then send these rules along with your API request. This helps the API know exactly what data you want to pull out.
Regular extraction tries to get all text or tables from a PDF, but custom parsing lets you tell the API exactly what to find, like only dates or certain numbers. This makes your data cleaner and saves time.
Yes, but the PDF must go through OCR (Optical Character Recognition) first, so the text can be read by the API. After OCR, your custom rules can find the data you need.
Using the API lets you automate data extraction for many files at once, or build the process into your own app or workflow. It saves time and removes manual work.
Check if your rules match the way the data looks in the PDF. Sometimes, patterns need to be more exact, or you may need to adjust for different layouts. Testing with sample files helps improve your results.