We construct automated document ingestion portals that read invoices, extract table metrics, and index corporate files.
Chandraja Infotech maintains operational teams delivering state-of-the-art results in this domain. We work closely with our clients to customize architectures, normalize database entities, and ensure robust security audits matching enterprise benchmarks.
Our models achieve over 98% accuracy for standard printed text. We also implement post-extraction regex dictionaries to self-correct common optical variations.
Handwritten text recognition requires specialized Deep Learning models. We integrate custom PyTorch neural networks for handwritten digital capture.
Our pipelines process and parse structured text metrics from a standard multi-page PDF document in under 1.5 seconds.
Request a design proposal from our system architects. We supply structured estimates, capability matrices, and architectural briefs.
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