Drop a stack of scanned intake sheets into one app and get structured records back, field by field, without anyone retyping a page. The fax tray, the phone photos, the PDFs a referring office emailed over: they all land in the same table with names, dates, contact details, and reason for visit already parsed out.
Start from the Application Tracker Board. It is a live Taskade Genesis app built to collect documents alongside structured fields, which is the same shape a scanned sheet queue needs, though it is an application form rather than a reader pointed at your paperwork. Open it to see how an upload lands against a record, clone it into your own workspace in about ten seconds, and point the reading step at your own fax tray.
The build gives you an upload area, a reader that pulls text off each page, a mapping from what it found to your own field names, a confidence flag on anything ambiguous, and a review queue where a human confirms before the record goes live. That last part matters. Nothing is committed silently. The reader shows what it read and where it read it from, and your team approves it. The reading behaviour is documented in document intake, and the upload side in file uploads.
One practical limit worth knowing up front: reading words off a photograph or a scan tops out at 20 MB per image. Typed documents follow your plan's normal upload size, which is 10 MB on Free. Most single-page intake sheets sit far below either number.
The parsed records show up wherever you need them:
- Table view with one row per sheet and every extracted field as a column
- Board view to move sheets through read, review, and confirmed
- List view for a straight queue when clearing a backlog
- Plus the rest of the 7 project views
Automations turn the pile into a pipeline. With Taskade automations on a paid plan, a new file landing in the upload folder starts a read, assigns the review to whoever is on desk, and pings them once the extraction is ready. Across 100+ bidirectional integrations, Gmail and Google Drive pull incoming scans in while Slack and email push the review request out.
The AI agents here carry 34 built-in tools including file analysis and persistent memory. The agent learns the layout of the forms you receive most often, so the third time a particular referring office sends its template the fields land in the right columns without correction.
Workspace DNA is what turns a reader into a system. Memory holds the layouts you receive most often and the field names your practice uses. Intelligence, drawing on 15+ frontier models from OpenAI, Anthropic, Google, and open-weight providers, decides which line on the page is a date of birth and which is a phone number, and says how confident it is. Execution files the confirmed record and starts whatever comes next, such as a request for the one detail the page did not contain.
Running it in your practice
- Clone the app and name your fields. Describe the columns you want in your own words. The reader maps to those names rather than forcing you to adopt its own.
- Run a test batch of ten sheets. Use a mix of your cleanest and messiest examples so you see the confidence flags working before you trust the queue.
- Set the review rule. Decide what a person must confirm and what can pass through, for example anything above a confidence level you choose.
- Point your incoming channel at it. Scans arriving by email or landing in a shared folder can start a read automatically on a paid plan.
- Clear the queue once a day. Reviewing is a scan of proposed values against the attached page, not a retyping exercise.
The measurable change is the retyping itself: a page that took four minutes to key in becomes twenty seconds of confirmation.
Clone it, invite the team, and the records are yours. You choose what gets extracted, what gets ignored, and how long a scan is kept once its fields are captured.
Go further with scanned document handling, see what other operators built in the Community Gallery, or start your own build at create. This pairs naturally with the new patient intake form so new arrivals never generate paper in the first place, and with merging duplicate patient records once two sources describe the same person.
Frequently Asked Questions
How accurate is the reading on handwriting?
Printed and typed sheets read cleanly. Handwriting varies with how legible it is, which is why every extraction goes to a review queue with a confidence flag rather than straight into the record. Your team confirms or corrects in one pass, which is still far faster than typing a page from scratch.
What file types can I send it?
PDFs, photographs taken on a phone, and standard image files all work. A multi-page PDF is handled as one document, and each page is read in order so a two-sided form does not lose its second half.
Does it handle forms from other offices with different layouts?
Yes. You describe the fields you care about rather than the position they sit in, so a referral letter and your own intake sheet can both feed the same columns. The agent remembers recurring layouts through persistent memory and gets faster with each one it sees.
Can it read forms in another language?
Yes. Taskade Genesis draws on 15+ frontier models from OpenAI, Anthropic, Google, and open-weight providers, several of which handle multiple languages. If your intake sheets come back in more than one language, see multilingual intake forms for the collection side.
What happens to the original scan?
It stays attached to the record unless you remove it. Some practices keep the image alongside the parsed fields for reference, others delete it once the fields are confirmed. That is your call, and the app follows whatever rule you set.
Can this run overnight on a batch?
Yes, on a paid plan. Point an automation at the folder where scans arrive and set it to run on a schedule. The batch is read and queued so the review list is waiting when the desk opens.
Is any of this making clinical decisions?
No. The app reads text off paper and puts it into fields. It does not interpret what the answers mean for care, and every judgement about a person stays with your practice.
