TaskMint Labs

Document processing automationTurn PDFs and forms into
clean, checked records.

I build document processing automation for small businesses. Invoices, orders, applications and other documents are picked up from your inbox or folders, the key fields are pulled out and checked, and the results go into Google Sheets, your CRM or another system. Anything uncertain gets flagged for a person.

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The cost of retyping

Manual data entry is slow,
and mistakes hide well.

Hours of copy and paste.

Someone opens each PDF or email, finds the same few fields, and types them into a spreadsheet.

Errors slip through.

A swapped digit or a missed line item isn’t noticed until a report or a customer catches it.

Documents arrive everywhere.

Email attachments, shared folders, scans and uploads, in different layouts from different senders.

Work piles up at busy times.

Month-end, enrollment season or a big order week creates a backlog that delays everything after it.

For teams that process the same kinds of documents again and again.

Operations, finance, admissions and admin teams handling invoices, purchase orders, applications, intake forms or delivery notes every week.

Not a fit: one-off documents, or decisions that need someone to read the whole thing carefully. People should handle those, with automation doing the filing and routing around them.

  • You receive the same document types regularly
  • You know which fields matter and where they go
  • Accuracy matters enough to want a review step
  • Documents arrive digitally, or can be scanned clearly
What I build

Example workflows.

Each one is built around your document types, the fields you need, and where the data has to go.

Inbox to spreadsheet

Attachments sent to a dedicated inbox are read, the key fields pulled out, and a new row added to Google Sheets with a link back to the original file.

  • Email → extract → sheet row

Your inbox, Google Sheets

Invoice data extraction

Supplier, invoice number, dates, line items and totals are captured and checked (for example, that the lines add up to the total) before anything is posted.

  • Invoice → fields → checks → review

OCR, OpenAI or Claude, your accounting software

Forms and applications into your CRM

Intake forms, applications and order forms become CRM records, with missing or inconsistent answers flagged.

  • Form → record → missing-field flag

ClickUp or your CRM

Human review queue

Fields the system isn’t sure about, and failed checks, go to a simple review step where a person confirms or corrects them before the data is used.

  • Uncertain field → reviewer → approved

Google Sheets or a review form

Filing and routing

Documents get renamed consistently, saved to the right folder, and sent to the person or system that needs them next.

  • Document → classify → file → notify

Your shared folders

Duplicate and validity checks

Rules that catch repeated invoice numbers, impossible dates, wrong formats and values outside the expected range.

  • Record → rules → pass or flag

n8n, Make, Zapier, custom rules

Try the document record builder.

Paste four labeled lines and see them turned into a record, with missing fields, bad dates and duplicates flagged. It’s a simple version of the checks I build, and it runs in your browser.

Open the document check demo
Accuracy and data handling

How accurate is
automated extraction?

It depends on the documents. Clean digital PDFs from a few senders are much easier than handwritten forms or poor scans in many layouts. Rather than promise a percentage, I test extraction on a sample of your real documents during scoping and design the workflow around what I find.

Every build has checks and a review step, so uncertain results go to a person instead of slipping quietly into your systems. The method depends on your documents: templates for consistent layouts, OCR for scans, and AI models for varied layouts, often combined.

Sensitive documents

Documents often hold personal or financial information. Before anything is built, we agree where files are processed, which OCR or AI services are used, how long data is kept and who can see it. I only send third-party services what the job needs.

How it works

From first call
to launch.

How I work
  1. 01

    Free audit

    We look at your document types, volumes, and where the data needs to go.

  2. 02

    Sample & scope

    I test extraction on a sample of real documents, and we agree fields, rules and review steps.

  3. 03

    Build & validate

    I build the pipeline, then test it on documents that are messy, incomplete or unusual.

  4. 04

    Launch

    We go live with the review step in place, and I show your reviewers how it works.

Tools

From the inbox
to the system of record.

I pick extraction services and destinations to suit your documents and the systems you already use, and connect them with n8n, Make or Zapier.

  • Google Sheets
  • ClickUp
  • Your CRM
  • OpenAI
  • Claude
  • OCR services
  • n8n
  • Make
  • Zapier
  • APIs and webhooks

What you get.

  • A tested extraction workflow for your document types
  • Validation rules and a review step for uncertain results
  • Each record linked back to its source document
  • Flagged items sent to a person, with the reason attached

Wherever I can, I build in accounts your business owns, so the workflows, logins and data stay yours.

Questions

Common questions.

Something else? Ask me on the free call or email fahad@taskmintlabs.com.

Can you extract data from scanned PDFs?

Usually, if the scans are readable. OCR quality depends on resolution, handwriting and layout, so I test on your real samples before picking an approach.

Do you use AI to read documents?

Often, alongside rules. AI handles varied layouts well, and the rules catch the mistakes AI makes. Anything uncertain goes to a person.

How do you handle sensitive information?

We agree data handling during scoping: which services process the files, where data is stored, how long it’s kept and who has access. I send only what the job needs to any third-party service.

Can you handle invoices from many different suppliers?

Yes, that’s common. Varied layouts usually call for AI-based extraction plus checks, and I test across a sample of your suppliers before launch.

Related services
All services
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