Connect Papaya: Pay Any Bill to your accounting, billing and reconciliation stack
Papaya turns paper bills into machine-readable, payable records using computer vision. Our integration layer mirrors that capability programmatically: you upload a bill image, receive structured fields (amount, due date, account number, biller name), trigger a payment from a stored funding source, and reconcile the outcome via webhooks. Everything is wrapped behind one OpenFinance-style endpoint set and delivered as runnable source code or a hosted API.
Data available for integration
Papaya holds three valuable layers of data that our integration surfaces in a normalized OpenFinance shape: the raw and parsed bill, the payment instruction and result, and the recurring relationship with each biller. The table below maps each data type to its source, granularity and a typical downstream use.
| Data type | Source (screen/feature) | Granularity | Typical use |
|---|---|---|---|
| Extracted bill fields | Snap-a-bill camera intake / Extract API | Per bill image: biller, amount, account number, due date, line items | AP automation, patient statement intake, invoice ingestion for ERP |
| Bill objects | "Bills" tab / BillPay /bills | Per bill: status, balance due, schedule, payment method binding | Cash-flow forecasting, dunning workflows, late-fee prevention |
| Payment events | Payment lifecycle / webhooks | Per event: created, sent, settled, failed, refunded | Reconciliation against bank ledger, exception handling, SLA reporting |
| Funding methods | Wallet / payment method screen | Per token: rail (ACH, card, FSA/HSA), masked PAN, expiry, default flag | Risk scoring, payment routing, FSA-eligibility checks |
| Biller relationships | "Billers" / recurring schedules | Per biller: category, recurrence cadence, average amount | Subscription analytics, vertical benchmarks, cancellation outreach |
| Receipt artifacts | Confirmation screen / extract output | Per payment: PDF receipt, hashed image reference, audit trail | Tax filing, expense management (FSA/HSA substantiation), audit evidence |
Typical integration scenarios
The four scenarios below are the ones clients ask for most often when they want Papaya capabilities behind their own product, internal portal or back-office workflow.
1. Patient billing intake for a healthcare RCM platform
A revenue-cycle management vendor accepts paper EOBs and provider invoices uploaded by patients. Each upload hits our /extract proxy, which forwards to the Papaya Extract API. The webhook returns structured fields (provider, account number, balance due) and we hand the patient a one-tap "Pay with HSA" button bound to the BillPay create_bill + schedule_payment calls. Maps to OpenFinance because the patient retains custody of the funding source while consenting to a single charge.
2. Property management rent and utility automation
A multi-family operator ingests utility bills delivered to leased units. Our pipeline OCRs each bill, deduplicates against a unit-level ledger and schedules ACH payments on the cycle date. Webhook events for payment.settled close the AP entry in NetSuite. The result is a unified rent + utilities + parking dataset that previously required logging into a dozen biller portals.
3. SMB AP co-pilot integrated with QuickBooks
An accounting add-on lets a small business email a bill to a unique address. We strip the attachment, send it through Extract, generate a draft bill in QuickBooks and queue a Papaya payment. When Papaya marks the payment as settled we mark the QuickBooks bill paid and write the receipt PDF to the document store. Eliminates manual data entry and provides a 24-hour clearing SLA on most rails.
4. Consumer finance dashboard with cross-app statement export
A budgeting app wants a unified "bills paid" feed across Papaya, doxo and direct biller portals. We expose a normalized /statements endpoint that returns Papaya bills, payments and biller categories in the same shape as our other connectors, so the front-end only consumes one data model. This is a classic OpenData use case: structured access to data the user already owns.
5. Compliance and audit log feed for regulated tenants
For HIPAA- or SOC 2-regulated tenants we expose an append-only /audit stream with hashed bill image references, consent records, payment outcomes and operator IDs. Used to satisfy CFPB Regulation E inquiries, HIPAA access logs and internal SOX controls.
Technical implementation
1. Submit a bill image to OCR
POST /api/v1/papaya/extract
Content-Type: multipart/form-data
Authorization: Bearer <ACCESS_TOKEN>
file: bill.jpg
callback_url: https://yourapp.example.com/hooks/papaya/extract
// 202 Accepted
{
"extract_id": "ext_3f9c8b21",
"status": "queued",
"received_at": "2026-05-10T14:02:11Z"
}
2. Webhook delivery — extraction complete
POST https://yourapp.example.com/hooks/papaya/extract
X-Papaya-Signature: t=1715349731,v1=ad6f...
Content-Type: application/json
{
"event": "extract.completed",
"extract_id": "ext_3f9c8b21",
"fields": {
"biller_name": "Cedars-Sinai Medical",
"account_number": "123-45-678",
"amount_due": "248.37",
"currency": "USD",
"due_date": "2026-05-28"
},
"raw_text": "Cedars-Sinai... Balance due 248.37..."
}
3. Create and schedule a payment
POST /api/v1/papaya/bills
Content-Type: application/json
Authorization: Bearer <ACCESS_TOKEN>
{
"biller_name": "Cedars-Sinai Medical",
"account_number": "123-45-678",
"amount": "248.37",
"currency": "USD",
"due_date": "2026-05-28",
"funding_method_id": "fm_hsa_9821",
"schedule": "immediate"
}
// 201 Created
{
"bill_id": "bill_a72e",
"payment_id": "pay_71fd",
"status": "submitted",
"estimated_settlement": "2026-05-11T18:00:00Z"
}
4. Pull a statement export
GET /api/v1/papaya/statements?from=2026-04-01&to=2026-04-30&format=csv Authorization: Bearer <ACCESS_TOKEN> // 200 OK bill_id,biller,amount,currency,paid_at,settled_at,funding,status bill_91a,ConEd,82.40,USD,2026-04-03,2026-04-04,ach_3311,settled bill_92b,Sprint,65.00,USD,2026-04-05,2026-04-06,card_2289,settled ...
Compliance & privacy
Bill payments touch three regulatory regimes at once in the United States: card data (PCI DSS), consumer electronic payments (the CFPB Regulation E framework for EFTs), and protected health information when medical bills are processed (HIPAA). We design every Papaya integration to respect all three. Card numbers never touch your server; they live as tokenized funding methods. Healthcare workflows follow data-minimization with explicit consent records and a Business Associate Agreement when PHI is in scope. For consumer-finance products we mirror Regulation E disclosure timing and dispute windows.
For European or UK tenants who want to combine Papaya bill data with bank account aggregation, we layer a PSD2-style consent dashboard on top so end users can revoke access at any time. Our default retention policy is 12 months for raw bill images and 7 years for payment records, configurable per tenant.
Typical modules we ship
- OAuth + token refresh wrapper around Papaya BillPay credentials
- Multipart upload service with image pre-processing (deskew, denoise)
- Webhook receiver with HMAC verification and idempotent replay
- Bill / payment / funding-method data models in Postgres
- Reconciliation worker that joins Papaya events to bank statements
- Tenant-scoped audit log feed (JSON Lines, optional S3 sink)
Data flow / architecture
A typical Papaya integration follows a four-stage pipeline:
- Client capture — Mobile or web client uploads a bill JPEG or PDF, plus the chosen funding method ID.
- Ingestion / API gateway — Our wrapper authenticates, deduplicates, calls Papaya Extract and BillPay, and signs an internal trace ID into every downstream call.
- Storage — Structured bill, payment and event records land in Postgres; raw images go to encrypted object storage (S3, GCS, or Azure Blob) with per-tenant KMS keys.
- Analytics & output — A reconciliation worker emits CSV/JSON exports and webhook fan-out to your accounting tool (QuickBooks, NetSuite, Xero) and your data warehouse (BigQuery, Snowflake, Redshift).
Market positioning & user profile
Papaya is a US-headquartered consumer fintech founded in 2016 and based in West Hollywood, California. In December 2021 it raised a $50M Series B led by Bessemer Venture Partners (total funding ~$65M) and the company was named PayAwards "Most Innovative Technology" winner — the snap-a-bill OCR pipeline was co-developed with computer-vision veteran Jason Meltzer, formerly of iRobot Roomba. The user base skews toward US consumers paying medical, dental, rent, utility, parking and DMV bills, plus small businesses and pet/childcare operators that issue paper invoices. The mobile-first audience uses both Android and iOS, with most payment volume concentrated in the United States across all 50 states. Recent product evolution has emphasized FSA/HSA card support and a developer-facing BillPay + Extract API that opens the same OCR-and-pay engine to third parties — the foundation our integration layer builds on.
Screenshots
Tap any thumbnail to view the full image. Sourced from the official Google Play listing.
Similar apps & integration landscape
Teams who integrate Papaya often integrate adjacent bill-payment or finance apps in the same workflow. The list below is a non-ranked map of the broader ecosystem so you can plan a unified data model from day one.
- doxo — Pay-any-biller marketplace covering 120,000+ US billers; users who work with both doxo and Papaya often need a single normalized payment-history feed.
- Prism Money — Bill tracking and payment with calendar view; common pairing for cash-flow dashboards that overlay due dates from multiple sources.
- BillTracker — Lightweight reminder app focused on due-date hygiene; integration value comes from cross-feeding Papaya's settled-payment events to suppress reminders.
- Rocket Money — Subscription and bill management with negotiation features; pairs well with Papaya for recurring household bills the user wants to renegotiate or cancel.
- Simplifi by Quicken — Modern personal finance with bill projections; consumes Papaya statement exports to forecast upcoming household outflows.
- Bill.com — SMB AP/AR platform; often layered on top of Papaya when a small business wants OCR intake plus full ERP-grade approval flows.
- BillGO — B2B bill-pay infrastructure used by banks and credit unions; appears in side-by-side evaluations against Papaya for consumer-bank embeds.
- Mint — Long-running personal finance aggregator; users often want bill payments captured by Papaya to flow back as transactions in Mint-style dashboards.
- Trim — Bill negotiation and subscription cancellation; complements Papaya by reducing the number of bills a user actually pays.
- WellPaid — Bill management and reminders; integration value is unifying its tracking model with Papaya's payment events into one customer record.
What we deliver
Deliverables checklist
- API specification (OpenAPI 3.1 / Swagger) covering Extract, BillPay and Statements endpoints
- Protocol and authentication report (token lifecycle, webhook signing, retry semantics)
- Runnable source code in Python (FastAPI) and Node.js (Express) — login, extract, pay, reconcile
- Postman collection plus pytest / Jest test harnesses with sandbox fixtures
- Compliance guidance: HIPAA data-minimization, PCI scope reduction, Regulation E disclosures
- Optional hosted endpoint with metered, pay-per-call billing
About us
OpenFinance Lab is an independent studio focused on protocol analysis and OpenData / OpenFinance / OpenBanking integrations for mobile apps. Our engineers come from payments processors, neo-banks, healthcare RCM and security research. We have shipped end-to-end integrations against bill payment, neobank, brokerage and loyalty APIs for clients in North America, Europe, the Middle East and Asia.
- Source code delivery from $300 — runnable API source code and full documentation; pay after delivery upon satisfaction
- Pay-per-call API billing — access our hosted Papaya wrapper and pay only per call, no upfront cost
- NDAs and data-processing addenda available for regulated workloads
Contact
For quotes, sandbox provisioning or to submit your Papaya integration requirements, open our contact page.
Engagement workflow
- Scope confirmation: which Papaya scenarios — OCR-only, OCR + payments, recurring, FSA/HSA, audit feed.
- Protocol analysis and API design (2–5 business days, depending on data model complexity).
- Build and internal validation against the Papaya BillPay sandbox (3–8 business days).
- Documentation, sample apps and test cases (1–2 business days).
- Typical first delivery: 5–15 business days; FSA/HSA enrollment with merchants may extend timelines.
FAQ
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How long does delivery take for a typical Papaya integration?
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📱 Original app overview (appendix)
Papaya is a US fintech that lets anyone pay any bill by snapping a photo of it. Once a bill is captured, the company's computer-vision pipeline reads the relevant fields and routes the payment through ACH, debit, credit or FSA/HSA card on the user's behalf. The app is free to download and most payments settle within 24 hours.
- How it works — Download the app, snap a picture of the bill, choose a payment method; Papaya sends the payment.
- Bill coverage — Medical, dental, utilities, rent, insurance, loans, parking tickets, DMV, plumbing, business invoices, daycare, pet training and more.
- Payment methods — Bank account (ACH), credit card, debit card and FSA/HSA card, subject to merchant acceptance.
- Security — HIPAA and PCI compliant, bank-level secure; computer-vision technology co-developed with the lead engineer behind iRobot Roomba's vision stack.
- Company — Founded 2016 in West Hollywood, CA; raised a $50M Series B in December 2021 led by Bessemer Venture Partners (~$65M total). Backed by investors behind Uber, Facebook, Google and YouTube.
- Recognition — Winner of the PayAwards "Most Innovative Technology" award.
- Developer surface — Public BillPay and Extract API documented at billpay.papayapay.com/docs, with REST endpoints, OCR upload and webhooks.