{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_receipt-ai","slug":"receipt-ai","name":"Receipt AI","type":"product","url":"https://receipt-ai.com","page_url":"https://unfragile.ai/receipt-ai","categories":["data-analysis"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_receipt-ai__cap_0","uri":"capability://data.processing.analysis.sms.based.receipt.image.capture.and.submission","name":"sms-based receipt image capture and submission","description":"Enables users to submit receipt photos via SMS without requiring app installation, using a dedicated phone number endpoint that receives MMS attachments and routes them to the processing pipeline. The system parses incoming MMS metadata (sender, timestamp, image MIME type) and queues images for OCR extraction, reducing friction for remote teams and non-technical users who may not install mobile apps.","intents":["I want my team to submit receipts without downloading an app","I need a low-friction way to capture receipts from field staff who don't have smartphones","I want to accept receipt submissions via a channel my team already uses daily"],"best_for":["Small to mid-sized teams with distributed/remote workers","Organizations with high employee turnover where app adoption is difficult","Freelancers and contractors who need minimal setup overhead"],"limitations":["SMS MMS size limits (typically 5-10MB) may reject high-resolution images from modern phones","No real-time feedback to user about extraction success/failure — async processing means delays of minutes to hours","International SMS routing adds latency and cost; unclear if system handles non-US phone numbers reliably","No support for batch SMS submissions or templated receipt formats"],"requires":["Active mobile phone with SMS/MMS capability","Receipt AI account with provisioned SMS endpoint","Carrier support for MMS (not all prepaid/international carriers support MMS)"],"input_types":["image (JPEG, PNG via MMS attachment)","metadata (sender phone number, timestamp)"],"output_types":["queued receipt record","processing status notification (via SMS or dashboard)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_receipt-ai__cap_1","uri":"capability://image.visual.receipt.image.ocr.extraction.with.line.item.parsing","name":"receipt image ocr extraction with line-item parsing","description":"Applies optical character recognition (likely Tesseract or cloud-based vision API) to receipt images to extract structured data: merchant name, date, total amount, tax, and itemized line items with quantities and unit prices. The system likely uses template matching or regex patterns to normalize common receipt formats (retail, restaurants, fuel) and handles variable layouts by detecting key fields (currency symbols, date patterns) rather than relying on fixed-position parsing.","intents":["I want to automatically extract receipt data instead of manually typing it into my accounting system","I need line-item detail from receipts to categorize expenses by product/service type","I want to validate receipt totals and detect duplicate submissions automatically"],"best_for":["Accounting teams processing 50+ receipts monthly","Businesses with high-volume expense reports (sales teams, consultants)","Organizations needing audit trails with itemized expense detail"],"limitations":["OCR accuracy degrades significantly on low-quality phone photos (blurry, poor lighting, angled shots) — likely 70-85% accuracy vs 95%+ for scanned documents","Non-English receipts and international formats (VAT numbers, different date formats) are unsupported or unreliable per editorial notes","Handwritten receipts or receipts with logos/graphics overlaying text fail extraction","No support for digital receipts (PDF, email receipts) — image-only input","Line-item parsing fails on receipts with complex formatting (multi-column layouts, promotional discounts, bundled items)"],"requires":["Receipt image in JPEG or PNG format","Minimum 300x300 pixel resolution for reliable OCR","Receipt in English language","Legible receipt (not faded, torn, or water-damaged)"],"input_types":["image (JPEG, PNG, potentially TIFF)","image metadata (capture timestamp, device orientation)"],"output_types":["structured JSON with fields: merchant_name, date, total_amount, tax_amount, currency, line_items (array of {description, quantity, unit_price, category})","confidence scores per extracted field","raw OCR text for manual review"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_receipt-ai__cap_2","uri":"capability://data.processing.analysis.automatic.expense.categorization.and.coding","name":"automatic expense categorization and coding","description":"Maps extracted receipt data (merchant name, item descriptions, amounts) to standard accounting expense categories (meals, travel, office supplies, etc.) using rule-based matching and potentially lightweight ML classification. The system likely maintains a merchant database (Starbucks → meals, Uber → travel) and applies heuristics based on keywords in line items to assign GL codes or cost centers compatible with QuickBooks/Xero chart of accounts.","intents":["I want receipts automatically categorized so I don't have to manually assign GL codes","I need to enforce consistent expense categorization across my team","I want to flag miscategorized expenses before they sync to accounting software"],"best_for":["Mid-sized businesses with standardized chart of accounts","Teams with high-volume receipts where manual categorization is a bottleneck","Organizations needing audit compliance with consistent expense coding"],"limitations":["Categorization accuracy depends on merchant database coverage — unknown merchants or niche vendors may default to generic categories","No support for custom category hierarchies or multi-level cost center assignment","Cannot handle split expenses (e.g., one receipt with meals AND office supplies) — assigns single category only","No learning from user corrections — system doesn't improve categorization accuracy over time based on feedback","International merchants and non-English merchant names likely fail categorization"],"requires":["Extracted receipt data (merchant name, item descriptions)","Configured chart of accounts or category mapping in Receipt AI settings","Merchant database sync (likely updated periodically, not real-time)"],"input_types":["structured receipt data (merchant_name, line_items, total_amount)","user-configured category mappings"],"output_types":["assigned expense category (string or GL code)","categorization confidence score","flagged receipts requiring manual review"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_receipt-ai__cap_3","uri":"capability://tool.use.integration.quickbooks.online.direct.data.synchronization","name":"quickbooks online direct data synchronization","description":"Establishes OAuth 2.0 authenticated connection to QuickBooks Online API and automatically pushes extracted receipt data as bill or expense transactions without manual reconciliation. The system maps Receipt AI fields (merchant, amount, category) to QuickBooks entities (Vendor, Account, Amount) and handles transaction creation, duplicate detection (by date/amount/vendor), and error handling for failed syncs with retry logic.","intents":["I want receipt data to flow directly into QuickBooks without manual data entry","I need to eliminate reconciliation delays between receipt capture and accounting records","I want a single source of truth for expenses across Receipt AI and QuickBooks"],"best_for":["Small businesses already using QuickBooks Online","Accounting teams wanting to reduce manual data entry by 80%+","Organizations with monthly expense volumes of 50-500 receipts"],"limitations":["QuickBooks Online only — no support for QuickBooks Desktop (on-premise)","Requires QuickBooks admin credentials to authorize OAuth — may require IT approval in larger organizations","No support for multi-entity QuickBooks setups (separate companies) — single QB realm per Receipt AI account","Sync is one-way only (Receipt AI → QB) — changes in QuickBooks don't sync back to Receipt AI","Rate limiting on QB API (typically 500 requests/hour) may cause delays during high-volume submission periods","No support for custom QB fields or advanced transaction types (journal entries, purchase orders)"],"requires":["QuickBooks Online account (not Desktop)","Admin access to authorize OAuth connection","Configured chart of accounts in QuickBooks matching Receipt AI categories","Active QB subscription (not trial)"],"input_types":["extracted receipt data (merchant, amount, category, date, line_items)","QB OAuth token (obtained during initial setup)"],"output_types":["QuickBooks Bill or Expense transaction (ID, status)","sync status (success, failed, pending retry)","error logs for failed transactions"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_receipt-ai__cap_4","uri":"capability://tool.use.integration.xero.accounting.platform.synchronization","name":"xero accounting platform synchronization","description":"Establishes OAuth 2.0 authenticated connection to Xero API and pushes extracted receipt data as bills or expense claims, mapping Receipt AI fields to Xero entities (Contact, Account, LineItem). The system handles Xero's stricter validation rules (required contact records, account codes, tax types) and manages transaction status workflows (draft, submitted, approved) with error handling for validation failures.","intents":["I want to sync receipts directly to Xero without manual bill entry","I need expense data to flow into Xero with proper tax treatment (GST, VAT)","I want to automate expense claim workflows in Xero"],"best_for":["Businesses using Xero as primary accounting platform","Organizations in regions with complex tax requirements (GST, VAT) where Xero is standard","Teams needing multi-currency expense handling"],"limitations":["Xero API has stricter validation than QuickBooks — requires pre-existing Contact records for vendors, may reject receipts if vendor not found","No support for Xero's advanced features (multi-currency revaluation, project tracking, inventory)","Sync is one-way only — Xero changes don't sync back to Receipt AI","Tax handling (GST, VAT) depends on Xero configuration — Receipt AI may not correctly apply tax codes for international receipts","Rate limiting on Xero API (60 requests/minute) may cause delays during batch submissions"],"requires":["Xero account (Standard or Premium tier)","Admin access to authorize OAuth connection","Pre-configured Contacts (vendors) in Xero matching receipt merchants","Chart of accounts set up in Xero with proper tax codes"],"input_types":["extracted receipt data (merchant, amount, category, date, tax_amount)","Xero OAuth token"],"output_types":["Xero Bill or Expense Claim (ID, status)","sync status (success, failed due to validation)","error details (missing contact, invalid account code, tax mismatch)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_receipt-ai__cap_5","uri":"capability://data.processing.analysis.duplicate.receipt.detection.and.deduplication","name":"duplicate receipt detection and deduplication","description":"Analyzes extracted receipt data (merchant, date, amount, line items) to identify duplicate submissions using fuzzy matching on merchant name and exact matching on date+amount combinations. The system flags potential duplicates for user review before syncing to accounting software, preventing double-entry errors and maintaining data integrity in the accounting system.","intents":["I want to prevent accidental duplicate expense submissions","I need to detect if a receipt was already submitted by another team member","I want to catch data entry errors before they corrupt my accounting records"],"best_for":["Teams with multiple expense submitters where duplicates are likely","Organizations with high-volume receipt processing (100+ receipts/month)","Businesses needing audit compliance with duplicate prevention"],"limitations":["Fuzzy matching on merchant names may produce false positives (e.g., 'Starbucks' vs 'Starbucks Coffee') requiring manual review","Cannot detect duplicates across different receipt formats (e.g., same transaction submitted as SMS receipt and later as email receipt)","No support for partial duplicates (e.g., same receipt split across multiple submissions)","Deduplication window is unclear — unknown if system checks only recent receipts or entire history","No machine learning — uses simple heuristics, so sophisticated fraud (altered amounts, fake merchants) is not detected"],"requires":["Extracted receipt data (merchant, date, amount, line_items)","Historical receipt database for comparison","User review workflow for flagged duplicates"],"input_types":["extracted receipt data (merchant_name, date, total_amount, line_items)","historical receipt records"],"output_types":["duplicate flag (yes/no/probable)","matching receipt reference (ID, date, amount)","confidence score for duplicate match"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_receipt-ai__cap_6","uri":"capability://memory.knowledge.receipt.image.storage.and.retrieval.with.audit.trail","name":"receipt image storage and retrieval with audit trail","description":"Stores original receipt images in cloud storage (likely AWS S3 or similar) with metadata indexing (date, merchant, amount, submitter) and maintains immutable audit trail of all access and modifications. The system enables users to retrieve original receipt images for verification, dispute resolution, or tax audit purposes, with timestamped logs of who accessed what and when.","intents":["I need to retain original receipt images for tax audit compliance","I want to retrieve receipt images for expense verification or dispute resolution","I need an audit trail showing who accessed expense records and when"],"best_for":["Businesses with tax compliance requirements (retain receipts for 3-7 years)","Organizations in regulated industries (healthcare, finance) with audit requirements","Teams needing dispute resolution capability for expense challenges"],"limitations":["Storage costs scale with receipt volume — unclear if Receipt AI charges per-receipt or includes storage in base pricing","No built-in image compression or optimization — high-resolution images consume significant storage","Audit trail retention period is unclear — unknown if logs are retained indefinitely or purged after N days","No support for image encryption at rest — security posture for sensitive receipt data is unknown","Retrieval API performance for large receipt archives is untested — may have latency issues for users with 10,000+ receipts"],"requires":["Cloud storage account (managed by Receipt AI)","Receipt image in JPEG or PNG format","Metadata indexing (date, merchant, amount)"],"input_types":["receipt image (JPEG, PNG)","metadata (date, merchant, amount, submitter)"],"output_types":["stored image URL or reference","audit log entry (timestamp, user, action)","image retrieval (original image file)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_receipt-ai__cap_7","uri":"capability://automation.workflow.multi.user.expense.submission.and.approval.workflow","name":"multi-user expense submission and approval workflow","description":"Enables multiple team members to submit receipts with role-based access control (submitter, approver, admin) and implements approval workflows where submitted expenses require manager sign-off before syncing to accounting software. The system tracks submission status (draft, submitted, approved, rejected) and notifies approvers of pending expenses via email or in-app notifications.","intents":["I want my team to submit expenses but require manager approval before they hit the accounting system","I need visibility into pending expenses across my team","I want to enforce expense policies (max per-receipt, category restrictions) before approval"],"best_for":["Mid-sized teams (10-100 employees) with expense governance requirements","Organizations with expense policies that require approval before accounting entry","Managers needing visibility into team spending patterns"],"limitations":["Approval workflows are basic — no support for multi-level approval (employee → manager → finance) or conditional routing based on amount/category","No built-in policy enforcement (max per-receipt, category restrictions) — policies must be enforced manually during approval","Notification system is unclear — unknown if approvers get real-time alerts or daily digests","No support for bulk approval — approvers must review receipts individually","Rejected expenses have no workflow for resubmission — unclear if users can edit and resubmit or must start over"],"requires":["Receipt AI account with multi-user setup","Configured user roles (submitter, approver, admin)","Email or notification system for approval alerts"],"input_types":["submitted receipt data (merchant, amount, category, submitter)","approval decision (approved/rejected with optional comment)"],"output_types":["submission status (draft, submitted, approved, rejected)","approval notification (email or in-app)","audit log of approval decisions"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_receipt-ai__cap_8","uri":"capability://data.processing.analysis.receipt.data.export.and.reporting","name":"receipt data export and reporting","description":"Generates reports and exports receipt data in standard formats (CSV, PDF, Excel) with filtering by date range, merchant, category, submitter, or approval status. The system aggregates extracted data into summary reports (total by category, by submitter, by month) and enables custom report generation for tax, audit, or business intelligence purposes.","intents":["I want to export receipt data for tax filing or audit purposes","I need to analyze spending patterns by category or team member","I want to generate monthly expense reports for management review"],"best_for":["Accounting teams needing tax documentation","Finance managers analyzing spending patterns","Organizations with audit or compliance reporting requirements"],"limitations":["Export formats are limited to CSV, PDF, Excel — no support for accounting-specific formats (IIF for QuickBooks, XML for Xero)","Report customization is likely limited — unknown if users can define custom report templates or dimensions","No scheduled/automated report generation — reports must be manually generated on-demand","Reporting granularity is unclear — unknown if reports can drill down to line-item level or only summary level","No integration with BI tools (Tableau, Power BI) — data must be exported and imported separately"],"requires":["Receipt data in Receipt AI system","Date range and filter criteria","Export format preference (CSV, PDF, Excel)"],"input_types":["filter criteria (date range, merchant, category, submitter, status)","report type (summary, detailed, custom)"],"output_types":["CSV file (rows of receipt records with extracted fields)","PDF report (formatted summary with charts/tables)","Excel workbook (multiple sheets with summary and detail)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_receipt-ai__cap_9","uri":"capability://image.visual.mobile.app.receipt.capture.with.real.time.preview","name":"mobile app receipt capture with real-time preview","description":"Provides native mobile app (iOS/Android) for capturing receipt photos with real-time OCR preview showing extracted data (merchant, amount, date) before submission. The app uses device camera with auto-focus and lighting optimization, and enables users to manually correct OCR errors before syncing to the backend system.","intents":["I want to capture receipts on my phone and see extracted data immediately","I need to correct OCR errors before submitting to accounting","I want offline receipt capture with sync when connectivity returns"],"best_for":["Mobile-first teams who prefer app-based submission over SMS","Users wanting real-time feedback on OCR accuracy","Field workers needing offline receipt capture capability"],"limitations":["App availability is unclear — unknown if iOS and Android apps are feature-parity or if one lags behind","Real-time OCR preview likely adds latency (2-5 seconds per capture) due to cloud processing","Offline sync capability is unclear — unknown if app queues submissions locally or requires immediate connectivity","Manual correction UI is likely basic — unknown if users can edit individual fields or must re-capture","App permissions required (camera, storage, network) may be blocked by corporate MDM policies"],"requires":["iOS 12+ or Android 8+ device","Camera hardware with autofocus","Receipt AI account and app login","Network connectivity for OCR processing (unless offline mode is supported)"],"input_types":["camera image (JPEG from device camera)","manual corrections (edited merchant, amount, date fields)"],"output_types":["real-time OCR preview (extracted data with confidence scores)","corrected receipt record ready for submission","submission status (queued, syncing, complete)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Active mobile phone with SMS/MMS capability","Receipt AI account with provisioned SMS endpoint","Carrier support for MMS (not all prepaid/international carriers support MMS)","Receipt image in JPEG or PNG format","Minimum 300x300 pixel resolution for reliable OCR","Receipt in English language","Legible receipt (not faded, torn, or water-damaged)","Extracted receipt data (merchant name, item descriptions)","Configured chart of accounts or category mapping in Receipt AI settings","Merchant database sync (likely updated periodically, not real-time)"],"failure_modes":["SMS MMS size limits (typically 5-10MB) may reject high-resolution images from modern phones","No real-time feedback to user about extraction success/failure — async processing means delays of minutes to hours","International SMS routing adds latency and cost; unclear if system handles non-US phone numbers reliably","No support for batch SMS submissions or templated receipt formats","OCR accuracy degrades significantly on low-quality phone photos (blurry, poor lighting, angled shots) — likely 70-85% accuracy vs 95%+ for scanned documents","Non-English receipts and international formats (VAT numbers, different date formats) are unsupported or unreliable per editorial notes","Handwritten receipts or receipts with logos/graphics overlaying text fail extraction","No support for digital receipts (PDF, email receipts) — image-only input","Line-item parsing fails on receipts with complex formatting (multi-column layouts, promotional discounts, bundled items)","Categorization accuracy depends on merchant database coverage — unknown merchants or niche vendors may default to generic categories","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:33.094Z","last_scraped_at":"2026-04-05T13:23:42.560Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=receipt-ai","compare_url":"https://unfragile.ai/compare?artifact=receipt-ai"}},"signature":"LPmDFLzOQ2XPvBHGXqSRdxgSCrqQOBCAHoviD98TGVXDabpo2bFSuRL1EO4gIfu0sYiMFIxQWUTeVE4/aq/cAA==","signedAt":"2026-06-21T14:35:26.127Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/receipt-ai","artifact":"https://unfragile.ai/receipt-ai","verify":"https://unfragile.ai/api/v1/verify?slug=receipt-ai","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}