Extract data from scanned documents and images automatically

Reads uploaded photos of forms or invoices with AI and saves the details straight into your database.

How the work actually flows

A straight line.

Pattern: Sequence (1) · Transient Trigger (23)

flowchart TD trig>"new image uploaded to drive"]:::trig s0["verify file is an image"]:::task s1["AI extracts key fields"]:::svc s2["structure extracted data"]:::task s3[("save record to database")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"structured record saved from each image"/]:::out pay{{"no more manual data entry from scans"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff

Starts itA stepAn outside serviceA record or sheetResultPayoff

Build size

Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions

AI Agents & Autonomous SystemsDocument Processing & OCRWeb Scraping & Data CollectionFile & Cloud StorageFinance & Accounting

Connects

Google DriveOpenAISupabase

The problem it solves

Typing information out of scanned forms, invoices, or ID photos by hand is slow and easy to get wrong. Every new image sitting in your upload folder is another few minutes of manual data entry someone has to get to.

Who it fits

Back-office teams or businesses processing invoices, forms, or ID documents on a regular basis.

How it works

A new image uploaded to a Google Drive folder starts the process
The system checks that the file is actually an image
AI reads the image and pulls out the key fields
The extracted information is organized into structured data
The data is saved to your database automatically

Quick estimate

What it is worth to you

Your numbers, your hourly cost. We add nothing hidden.

Scanned images/forms processed per week

per week

Minutes to key in data from one manually

minutes

Loaded hourly cost of staff doing this

$ per hour

0Hours freed per month

0Value per year at your hourly cost

Assumes the extracted data is accurate enough to use directly without manual double-checking and that freed hours go to other work.

What you get

A new database record containing the information extracted from each uploaded image.

What you need

A Google Drive account, an OpenAI account, and a database with API access, such as Supabase.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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