Invofox Turns Messy Business Documents Into Clean Data for Software Teams
Invofox, a Y Combinator Summer 2022 company, believes that turning invoices and business documents into structured, reliable data should no longer be every software company’s problem; it should be a single API call. For decades, the humble invoice has been one of software’s most stubborn opponents. Invoices arrive as PDFs, scanned photos, email attachments, bills of lading, and a dozen regional variants, each with its own quirks.
Founded in 2015 and based in Madrid, Spain, Invofox was built by Alberto Gimeno, Carmelo Juanes, and Adrian Ramirez. The company describes itself as “the document processing AI for software companies” and has focused on a clear promise: if a product needs to extract data from invoices, receipts, bills of lading, or other business documents on behalf of its users, Invofox can help ship that feature in days rather than months. The company has built its own AI stack specifically for the edge cases that break generic OCR tools, handwritten notes, multi-page documents, multi-language templates, and the long tail of vendor-specific formats, and exposes it through a developer-friendly API. Details on the product are at Invofox and on the company’s Y Combinator page.
The market Invofox serves has changed dramatically over the past few years. Horizontal vertical SaaS, embedded fintech, and accounts-payable automation have all exploded, and nearly every one of those categories ends up needing a document intelligence layer. Historically, teams either built one in-house, struggled through generic OCR vendors, or chained together open-source libraries and manual review. Invofox’s pitch is that a specialized AI trained on the right kinds of business documents, shipped as infrastructure, is the faster and more accurate option for product teams. Because Invofox sits inside other software products, its accuracy and reliability directly affect downstream user experience, which is why the founding team, all three of whom are computer scientists by training, spend so much of their effort on edge-case performance rather than flashy demos.
Invofox is a lean team of about a dozen, with focus areas spanning fintech and AI. That European base has been a quiet advantage: the company has been able to work closely with fintechs, ERPs, and accounting platforms that operate under EU rules for e-invoicing, VAT handling, and data residency, all areas where document processing needs to be not only accurate but compliant. As e-invoicing mandates spread across European markets and into Latin America, the need for a stable, well-documented API that handles both old PDFs and modern structured formats becomes more acute.
Rather than chase a general-purpose model, the team has bet on deep specialization: know one domain, business documents, and be the best in the world at it. For software companies that would rather ship invoice features than maintain an ML pipeline, that kind of focused infrastructure is exactly the kind of tool that becomes indispensable once it is plugged in. Invofox is betting that once developers try it, they will not want to go back.