Nanonets Alternative for Xero Invoice Processing: How FormX Handles AP Automation for Accounting Teams
FormX is a Nanonets alternative for Xero teams - pre-built extractors for invoices, receipts, and bank statements, with Zapier automation
Amazon Textract extracts raw text. FormX delivers structured, SAP-ready invoice data out of the box - no custom development, no AWS contract, starts free.

Amazon Textract is a capable cloud OCR service for general document text extraction. But when finance teams evaluate it for SAP accounts payable automation, they run into the same problem: Textract extracts text, but it does not understand invoice structure the way a purpose-built AP tool does. The result is raw extracted text that still requires significant development work to turn into structured, SAP-ready data.
FormX is a direct alternative - built specifically for invoice and document extraction, with pre-built AP extractors, structured JSON output, and pricing that does not require an AWS enterprise contract.
SAP AP automation is not a generic text extraction problem. Finance teams need specific fields pulled from invoices - vendor name, vendor address, invoice number, PO number, line items, GL-relevant totals, tax amounts - structured in a format their SAP instance can consume.
Amazon Textract provides raw text and basic table extraction. It does not come with pre-built invoice field mapping, GL code logic, or AP-specific data formatting. Teams evaluating Textract for SAP AP quickly realize they need significant custom development to:
This development overhead is not insignificant. It delays deployment, adds ongoing maintenance, and requires engineering resources that AP teams typically do not have.
The cost of staying manual in the meantime is real. Manual invoice processing takes 4-6 minutes per invoice with a 3-5% error rate. For teams processing hundreds or thousands of invoices monthly, this adds up fast.
FormX combines OCR, machine learning, and natural language processing into a purpose-built document extraction platform. Unlike general-purpose cloud OCR, FormX includes pre-built extractors for invoices and financial documents that work immediately without custom development.
FormX's invoice extractor automatically pulls:
Additional fields can be added upon request to match your specific SAP AP requirements.
This output arrives as structured JSON, ready to map into SAP-compatible Excel export or feed into an RPA workflow.
FormX exports extracted invoice data as JSON, CSV, or Excel. AP teams use the Excel export for manual SAP upload. Technical teams use the JSON API output to feed SAP via RPA (including UiPath integrations) or custom middleware. The platform is also compatible with Zapier and N8N for no-code workflow automation.
SAP AP teams at multinational companies process invoices from suppliers across multiple countries. FormX handles invoices in any language without separate workflows - automatically detecting language, parsing different date and currency formats, and extracting fields across German, French, Chinese, English, and other document types.
The platform also handles real-world document quality issues: skewed scans, low-resolution images, mixed printed and handwritten content, and batches combining multiple document formats.
FormX supports batch document upload, allowing AP teams to process large invoice volumes in one run rather than one at a time. This matters for shared services centers and property management firms processing high volumes of invoices from multiple entities simultaneously.
Choose FormX if:
Property management companies handle high volumes of recurring invoices: utility bills, maintenance vendor invoices, management fee statements, and demand notes. These documents often come from local vendors in inconsistent formats. FormX handles diverse invoice formats including non-standard document types common in property management - without requiring a custom model per vendor.
Regional shared services centers processing invoices across multiple SAP entities benefit from FormX's batch processing and multi-language support. A single FormX workflow handles invoices from suppliers across different countries without separate OCR pipelines per region.
Teams that currently key invoice data manually into SAP can use FormX to extract and format data into a SAP-compatible Excel template, then upload via SAP's standard import. This approach requires no SAP integration development - FormX sits outside SAP and exports clean data for manual or semi-automated upload.
Businesses that automate document processing with a purpose-built tool like FormX report:
At $299/month for 3,000 pages on the Starter plan, the break-even point is a small number of hours of data entry per month - a threshold most SAP AP teams exceed within the first week of the month.
Free trial: 100 pages, no credit card required. Upload your actual SAP AP invoices and test extraction quality before committing.
Starter plan: $299/month for 3,000 pages. Covers most mid-market AP teams.
Enterprise: Custom pricing for high-volume needs. Includes custom SLA, private cloud deployment, dedicated account manager, and advanced features including mobile SDKs, split and classify, and fraud detection.
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FormX exports extracted invoice data as CSV and Excel files that can be imported into SAP using standard upload workflows. For deeper integration, the FormX REST API can feed data into SAP via RPA tools including UiPath, or through middleware and Zapier automations. There is no native SAP connector, but the API-first architecture makes integration straightforward.
Yes. FormX is not template-based. The pre-built invoice extractor adapts to different vendor invoice layouts without requiring a separate template per vendor. For unusual or highly specialized document formats, custom extractors can be built.
FormX automatically detects document language and extracts fields without pre-configuration. AP teams processing invoices from suppliers in Germany, France, China, or other countries can use the same FormX workflow for all supplier invoice types.
Typical field accuracy is 70%+ across documents. For date, time, and amount fields on good-quality images, accuracy exceeds 90%. FormX's continuous learning improves accuracy over time as the system processes more of your specific document types.
Documents processed via the FormX API are handled in-memory and disposed of once extraction is complete. FormX does not store uploaded images. All API calls are encrypted with HTTPS. The platform is hosted on GCP and Azure cloud infrastructure. Enterprise plans support private cloud deployment.
FormX's pre-built invoice extractor works immediately. Teams can start processing invoices on the same day they sign up, using either the web portal or API. Compared to building a custom Textract pipeline that maps raw text to invoice fields, FormX typically reduces implementation time from weeks to hours.