Rundown Member 1H AGO

I built ParseForMe to solve a problem I kept running into: manually retyping data from PDFs, receipts, and invoices into spreadsheets. The core workflow takes an uploaded document and runs it through a parsing engine that identifies the document type, extracts key fields, and assigns a confidence score to each field. Users can then spot anything that needs a second look before exporting. For pricing, I chose a token-based model instead of flat tiers. One token parses one page, regardless of which engine handles the document, so costs scale directly with usage rather than forcing people into a fixed monthly bucket. I also built in export flexibility, including Excel, CSV, and pre-made spreadsheet templates for common document types such as invoices and bank statements. This lets the output slot into existing workflows without requiring additional manual cleanup. Webhooks and connectors were the trickiest part. I designed them to handle retries and partial failures gracefully so that a bad parse does not silently break someone’s downstream automation. Step-by-step: 1. I had users upload a PDF, receipt, invoice, or other document. 2. I ran the document through a parsing engine that identified its type. 3. I extracted key fields and assigned a confidence score to each field. 4. I let users review fields that needed a second look before exporting. 5. I supported exports to Excel, CSV, and pre-made spreadsheet templates for common document types, including invoices and bank statements. 6. I used a token-based pricing model in which one token parses one page, regardless of the engine handling the document. 7. I added webhooks and connectors with retry and partial-failure handling so a bad parse would not silently break downstream automation.