Python libraries that replace hundreds of lines of custom code. LiteLLM, Instructor, Tenacity, and 5 more I use in every ...

At night, a job runs that reads 10,000 invoices. Rows that fail validation are sent to a human in the morning. One week, the ...

Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.

Cloudflare released Clairic in preview on Workers AI on October 19, offering a model that extracts typed values from text and ...

Cloudflare Clairic extraction model pulls typed data from text and images in one pass. In a test pipeline, it cut run time 69 ...

There’s a moment in nearly every facial when the warm towels and dreamy massage give way to something a little less zen: extractions. For some of us, it’s the entire reason we booked the appointment ...

Starting with the shocking resultsThe work that used to take [X hours] every month for invoice transcription now only requires checking the differences. However, there are conditions for this figure.

Public datasets and benchmarks for reading invoices and receipts: key fields, line items, layout and document QA. Note 181 hard synthetic invoices (photos, scans, handwritten, dual currency, totals ...

A synthetic test set for invoice data extraction (invoice OCR, intelligent document processing, accounts-payable capture): 181 documents with answer keys and a scorer. Run any invoice reader over the ...

Knowledgator Engineering has released GLiFormer, a schema-conditioned encoder framework for information extraction. One model handles named-entity recognition (NER), text classification, relation ...

The supplied synthetic invoice and public evidence pack. Result Reproduce and check every field in one JSON extraction. Evidence and limits The accepted output applies to the original input. New ...