Stop retyping data
from your documents.
Someone on your team spends hours every week typing fields from PDFs into a spreadsheet. Palanca builds a system that reads the documents and puts the data where it needs to go. The person reviews and approves instead of typing.
Which tier fits?
Depends on how many document types you have and how they arrive.
One document type. Upload it. The data shows up in your sheet.
An accounting firm receives 30 supplier invoices a week. Someone opens each PDF, copies the vendor name, invoice number, date, amount, and VAT into a spreadsheet. It takes two hours. It gets done late. Typos happen. The spreadsheet is late to the bookkeeper.
Palanca builds a small web app. Drop a PDF in. Thirty seconds later, a row appears in your Google Sheet with every field extracted and the source document linked. Uncertain fields are highlighted so your team knows exactly what to verify. Not every field, just the handful the system wasn't sure about.
This fits one document type at reasonable volume. Scanned PDFs, digital PDFs, images, Word docs. All work. If you've got multiple document types or documents flooding in by email, keep reading.
- check_circleA custom extraction schema tuned to your document type
- check_circleWeb upload interface your team can use from any browser
- check_circleOptional Google Drive folder watcher for automatic processing
- check_circleStructured rows in your Google Sheet, timestamped and linked to the source file
- check_circleConfidence-colored cells in green, yellow, or red so you know what to double-check
- check_circleReprocess button for any row that looks wrong
- check_circleA handoff doc your team can follow
Final price depends on your data, volume, and integrations.
Documents arrive by email. The pipeline runs itself.
A customs brokerage receives bills of lading, commercial invoices, and packing lists by email all day. Each one needs different fields extracted into different systems. On a busy day that's 40 emails with attachments and three separate spreadsheets someone has to keep current.
Palanca builds a full pipeline. A dedicated inbox receives the documents. The system detects which type each one is, pulls the right fields with the right schema, and sends the results where they need to go. Accounting for invoices, operations for bills of lading, the tracking sheet for packing lists. A dashboard shows every extraction; your team approves, corrects, or rejects before anything hits downstream.
This is the whole operation, not one step of it. It fits teams processing fifty or more documents a month across multiple types, where the data needs to flow into more than one place, and where a human reviewing flagged items is worth more than the time it used to take to type everything.
- check_circleSchema library covering 3 – 5 document types
- check_circleAutomatic type detection for mixed inbound documents
- check_circleEmail ingestion from a dedicated inbox. No manual upload needed
- check_circleReview dashboard with approve, reject, and correct actions
- check_circleDelivery to Sheets, your CRM, your accounting system, or any connector
- check_circleExtraction analytics and accuracy tracking over time
- check_circleMulti-user access with roles
Final price depends on your data, volume, and integrations.
What's in each tier
Common questions
Not sure?
Book a free call. Describe your documents and where the data needs to go, and Palanca will tell you which tier fits.