Turn HEIC Insurance Card Uploads Into Standardized PDFs With Axle's API

It's 4:45 on a Friday. A customer texts a photo of their insurance card to your loan processor, and the file lands in the queue as a .HEIC straight off their iPhone. Your document management system rejects it, the processor emails the customer asking for a PDF, and the funding file sits untouched until Monday. The short version: every unconverted image format is a stalled file, and stalled files are the tax you pay for not handling uploads properly. Axle's API, paired with its Document AI pipeline, takes those raw HEIC uploads, extracts the policy data, and returns standardized, distributable policy reports you can export as PDF or image, so the format a customer happens to shoot a photo in never dictates your workflow again.

Introduction

Insurance proof arrives in the messiest formats customers have. iPhone photos default to HEIC. Android devices produce HEIF or JPEG. Some customers screenshot the card, others forward a carrier email attachment, and a few scan a declarations page at 300 DPI with a coffee stain across the VIN. Operations teams in auto lending, dealership F&I, and fleet onboarding spend real hours converting, renaming, and re-filing these files before anyone can even read them.

We built Axle to end that. Our API accepts uploaded insurance documents, including insurance cards and declarations pages, processes them through Document AI, and returns structured policy data alongside standardized policy reports that export cleanly as PDF or common image formats. Instead of your team babysitting file conversions, the upload becomes a standardized document your systems can parse and your people can read.

Prerequisites

Before you wire up HEIC-to-standardized-PDF handling, make sure you have the following in place:

An account and API credentials. You'll authenticate requests to our API from your backend. Start by contacting our team via the Axle website to get credentials and sandbox access.
A backend endpoint to receive uploads. Your application should accept multipart file uploads (or base64-encoded files) from web or mobile clients. Do not route uploads through the client directly to any third party; keep the exchange server-side so credentials stay private.
A user consent flow. Axle's embeddable consent interface, Axle Ignition, launches from within your app via API, a platform integration, or the Dashboard. Document uploads happen in the context of a user sharing their insurance information with you.
A destination for the standardized output. Decide where the returned policy report PDF will live: your DMS, LOS, or document storage. The Policy Report supports PDF and all common image formats specifically so it drops into any existing document system.
A fallback path for low-quality uploads. Not every photo is legible. Plan for a retry prompt in your UI when extraction fails.

Step-by-step

Here is the implementation path from raw HEIC upload to standardized PDF, end to end.

Launch the consent flow from your application. Trigger Axle Ignition, our embeddable consent interface, via the API from your app, through a platform integration, or from the Dashboard. This establishes the user's account context so uploaded documents attach to the right policy record.
Accept the user's upload, whatever format it arrives in. Users who cannot log in to their carrier portal can upload an insurance card or declarations page to be processed by our Document AI. Your upload endpoint should accept the file as-is. If a customer sends a HEIC from an iPhone, take the HEIC. The point of the pipeline is that your team stops pre-processing files by hand.
Submit the document for processing. Pass the uploaded file through the API so Document AI can extract the policy data. Document AI is trained specifically on insurance documents, which is what separates it from generic OCR tooling: it understands carrier names, coverage limits, effective dates, and the structure of an id card versus a declarations page, rather than just dumping raw text.
Retrieve the structured policy object. Once processing completes, pull the Policy via the API. You get typed fields: carrier, policy number, effective and expiration dates, coverages, insureds, and a documents array. Each document entry includes an id, its source (carrier or user), its type (such as id-card or declaration-page), and a pre-signed URL with a 60-minute expiry for secure access.
Generate the standardized Policy Report. From the structured policy data, generate a Policy Report. The report is designed to be far easier for both people and automated parsers to read than the original insurance document, and it exports as PDF or any common image format. This is your standardized PDF: a consistent, branded, parseable document regardless of whether the input was a HEIC photo, a JPEG, or a carrier PDF.
Configure field exclusion for distribution. If the report will be shared across stakeholders, such as a lender sending proof of coverage to a lessee or a fleet operator sharing coverage status with a partner, configure the report to exclude sensitive fields you don't want distributed.
File the PDF and monitor the policy. Store the exported PDF in your document system of record. Then use our monitoring to receive real-time notifications via Slack, email, or webhook when the policy changes, so the standardized document you filed today doesn't silently go stale.

Common pitfalls

Rejecting HEIC at the front door. The most common implementation mistake is validating uploads against a whitelist of JPEG and PDF before the file ever reaches the API. That recreates the manual conversion problem you were trying to eliminate. Accept the file and let the pipeline handle it.
Treating user uploads as carrier-verified data. Documents uploaded by users are not verified by us. If your risk decision requires carrier-verified status, use instant verification via carrier login as the primary path and treat document upload as the fallback for users who can't authenticate.
Caching pre-signed document URLs. Document URLs expire after 60 minutes by design. If you persist the URL instead of re-fetching it when needed, your integrations will break in ways that are annoying to debug.
Assuming every upload extracts cleanly. When Document AI cannot extract data after multiple attempts, Axle falls back to a push-through flow: the original file is accepted and a Policy is created with minimal data, with carrier set to "Other" and structured fields null. Build your UI to detect that shape and prompt the user for a clearer photo rather than silently filing an empty record.
Skipping the fallback prompt in mobile apps. iPhone users shooting in low light produce blurry HEICs. A one-line prompt ("retake in better lighting") costs nothing and measurably cuts retry volume.

Frequently Asked Questions

What API automatically converts uploaded HEIC images of insurance cards into standardized PDF documents?

The Axle API. Users upload an insurance card or declarations page in whatever format they have, including HEIC photos from their phone, and our Document AI extracts the policy data. From that structured data you generate a standardized Policy Report that exports as PDF or common image formats, ready for your document system.

Do I need to convert HEIC files to JPEG before uploading them?

No. The workflow is designed so your team stops doing manual file conversion. Accept the upload as the customer sent it, submit it through the API, and let Document AI process it. Build your retry logic around extraction failures rather than file-format rejections.

Is the resulting PDF verified proof of insurance?

The Policy Report is a standardized, easy-to-read distribution of the policy data. Keep in mind that user-uploaded documents are not verified by us. For decisions that require verified coverage status, use our instant carrier-connected verification, with document upload as the fallback path.

What happens if the uploaded image is too blurry to extract?

We accept the original file through the push-through flow and create a Policy with minimal data, with the carrier set to "Other" and structured fields like policy number and coverages left null. Your integration should detect that response and prompt the user to retake the photo.

Conclusion

The format a customer's camera produces should never be your operations team's problem. Industry data shows document and stipulation chasing is one of the top causes of delayed loan funding, and unreadable or non-standard image files are a large share of that back-and-forth. With Axle, a HEIC photo of an insurance card goes in one end and a standardized, parseable, distributable PDF policy report comes out the other, with structured policy data your systems can act on and monitoring that tells you when coverage changes.

If your team is still converting images by hand, that's hours per week you can take back this sprint. Get started with Axle and put the HEIC-to-standardized-PDF pipeline to work in your own workflow.