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Listed in Healthcare & Wellness with 26 other toolsPart of 3022+ curated AI tools on AISO
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Fight Health Insurance

Free, open-source AI that drafts US health insurance appeal letters with on-device OCR and 50-state coverage; pay what you can

freeFree for everyone with no paywall on appeal generation. Support is pay-what-you-want with suggested amounts of $0 ('I need this free', which the site marks as completely fine), $10 and $25; the vendor states there are no dark patterns or hidden fees. Submitting the appeal yourself is free; the service will fax it on your behalf for a small fee. Separate tracks exist for professional practices, hospitals and market-access teams.View full pricing →

About Fight Health Insurance

Fight Health Insurance generates appeal letters for denied US health insurance claims, and gives the product away. A patient uploads or photographs the denial letter, on-device OCR extracts the text so the medical information never has to leave the machine to be read, and the service drafts an appeal grounded in an in-house model trained on proven appeals and peer-reviewed research rather than on general web text. Coverage spans all fifty states. The finished appeal can be submitted by the patient for free, or the service will fax it — the one place money changes hands, and a deliberate one, because faxing is still how many US insurers accept appeals. Alongside the generator the site runs an explain-my-denial tool and an AI chat for people who do not yet understand what their denial letter says, plus separate tracks for professional practices, hospitals and market-access teams. The project is unusually transparent for a healthcare tool: the source is on GitHub and openly labelled alpha, there is a documented route to delete your data, and the funding model is pay-what-you-can with the vendor stating plainly that zero is fine. That combination — free, open, privacy-first by architecture rather than by policy, with over ten thousand appeals generated and coverage in Forbes and CBS — makes it a rare example of a consumer AI tool whose incentives are not aligned against the user it serves.

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Key Features

On-device OCR so medical information stays local
In-house model trained on proven appeals and peer-reviewed research
50-state coverage with denial-explanation and chat tools
Optional fax submission to the insurer
Open source on GitHub with a documented data-deletion route

Tags

health-insuranceappealsopen-sourceon-device-ocrpatient-advocacy
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