Sold by: Software Sushi
Deployed on AWS
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offline XML and PDF invoice extraction with exact string amounts. Scanned pages use pinned local OCR; every PDF requires review.
Overview
E-Invoice Extractor - XML and PDF Preview
Extract selected invoice fields in your own AWS account, offline on CPU. Preserve source decimal strings and explicit missing values. Use XML for structured extraction and supported printed or scanned PDFs for transcription with required review.
Software: USD 0.50 per instance-hour on ml.c5.2xlarge. Eligible buyers receive a 14-day software trial. AWS infrastructure, storage and data-transfer charges are separate, including during the trial. Consult the Marketplace offer for final terms.
Supported preview
- Mexico: CFDI 3.3/4.0 I/E XML and bounded CFDI printed PDF layouts.
- Brazil: legacy NF-e 4.00 model 55 XML, bounded DANFE PDFs, and a narrow provider-issued national NFS-e 1.01 XML subset with embedded DPS.
- English, Spanish and Portuguese local OCR artifacts; no external OCR service or request-time weight downloads.
Every PDF requires comparison with its source. This product transcribes fields; it does not verify fiscal validity, signatures, issuers, taxpayer identity, government acceptance or compliance. Multiline tables, handwriting, arbitrary rotation, municipal NFS-e variants and new tax-reform groups are outside this preview.
The finite synthetic evaluation passes its declared objectives, with retained errors including incorrect identifiers. See the model card , usage , sources and self-contained notebook .
Support: info@softwaresushi.com . Send error codes and redacted structure; keep taxpayer records and banking data out of support messages.
Watch the product workflow
See a supported Mexican invoice XML and a fictional PDF preview processed by the actual published model. The walkthrough includes source comparison; every PDF requires review and extraction does not establish fiscal validity.
Watch the English product video on YouTube . The interface is an illustrative integration rather than an included product UI. The examples are fictional; model responses are real.
Highlights
- Exact decimal strings, preserved XML tax paths and per-field PDF provenance
- Offline CPU OCR with locally pinned Apache-2.0 language weights
- Conservative missing values and required review; no fiscal validation
Details
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Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.c5.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.c5.2xlarge instance type, real-time mode | $0.50 |
ml.c5.2xlarge Inference (Batch) Recommended | Model inference on the ml.c5.2xlarge instance type, batch mode | $0.50 |
Dimensions summary
You pay by the hour based on how long the software runs on an ml.c5.2xlarge instance. The two dimensions split by processing mode. Real-time inference handles requests as they arrive for live extraction. Batch inference processes groups of documents together. Both use the same instance type, so your hourly rate depends only on which mode you select. Costs scale with the number of hours each mode runs. AWS infrastructure and data transfer are billed separately from this software charge.
Top-of-mind questions for buyers
The ml.c5.2xlarge is a CPU-based compute instance that runs the extraction model. Both dimensions use this same instance size. Your hourly software charge reflects how long that instance runs, regardless of whether you chose the real-time or batch mode.
Real-time inference processes each document request as it arrives, suited to live extraction. Batch inference groups documents and processes them together, suited to scheduled runs. Both bill per hour the instance runs. You pick the mode that fits your document flow.
AWS infrastructure such as EC2, EBS storage, networking, and data transfer is billed separately. The software charge meters only the time the model runs on the ml.c5.2xlarge instance. Review the current listing before subscribing to confirm these separate charges.
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Vendor refund policy
Software charges stop when the endpoint is deleted or a batch job ends. If the product did not work as described, email info@softwaresushi.com within 30 days with your AWS account ID and endpoint or job name. Software Sushi will refund the software charges for that use. AWS infrastructure charges are separate and are not covered.
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Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Maintained Ubuntu26.04 runtime with vendor security updates, unchanged pinned recognition weights and all33200 synthetic target fields preserved. Passes original XML/PDF objectives and320 container tests. Exact-image realtime AWS serial84/84 succeeds. Every PDF requires review; finite synthetic results do not establish fiscal validity or broad customer accuracy. Narrow national NFS-e1.01 retains its disclosed reference-XSD series limitation.
Additional details
Inputs
- Summary
JSON object with base64-encoded XML or PDF; JSON Lines; raw application/xml or application/pdf.
- Limitations for input type
- 1 MiB XML; 4 MiB PDF; 6 MiB HTTP body; 16 records and at most 2 PDFs per request; 3 PDF pages. Only provider-issued national NFS-e 1.01 XML subset supported. See usage for resource bounds.
- Input MIME type
- application/json, application/jsonlines, application/xml, application/pdf
{"content_type": "application/xml", "country_hint": "MX", "document_base64": "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"}
{"content_type": "application/xml", "country_hint": "MX", "document_base64": "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"}
{"content_type": "application/xml", "country_hint": "MX", "document_base64": "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"}
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
document_base64 | Strict canonical base64 of UTF-8 XML or PDF bytes. | Decoded XML at most 1 MiB or PDF at most 4 MiB. | Yes |
content_type | Modality of decoded document. | Must equal application/xml or application/pdf. | Yes |
Resources
Support
Vendor support
Contact info@softwaresushi.com with redacted structure and error codes only. Never send taxpayer data in public issues.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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