I will extract tables and text from scanned pdfs to excel via GPU

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Brasil

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Ulrich DataLab

Systems & Data Engineer operating an on-demand multi-GPU cloud pipeline (RTX 4090 / A100 + 64-Core EPYC nodes). I specialize in turning massive, slow, or messy files into clean, structured deliverable...
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Need to extract clean tables, financial rows, legal records, or structured text from hundreds or thousands of complex, scanned, or multi-column PDFs?

Standard OCR tools break table layouts, scramble columns, and fail on low-resolution scans. I run an automated, GPU-accelerated document parsing pipeline (Docling + Vision-LLM + Python/DuckDB) on dedicated NVIDIA RTX 4090 / A100 cloud nodes to convert massive document batches with ultra-high accuracy.


What I process:

- Scanned PDFs, multi-page invoices, receipts, and bank statements

- Complex financial tables, engineering schedules, and catalogs

- Legal filings, court records, contracts, and government gazettes

- Academic papers, medical forms, and technical manuals


Deliverable formats (your choice):

- Clean Excel (.xlsx) or CSV with preserved columns and merged headers

- Structured JSON, JSONL, or Apache Parquet / DuckDB database

- Clean Markdown (.md) ready for LLM RAG / Vector Databases

Why choose this service:

- Free Sample First: Message me with 1-2 sample PDF pages and I will send back the extracted Excel/Markdown preview within minutes before you order!

- 100% Confidentiality: All files are processed in isolated ephemeral c

Tecnología:

apache spark

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Excel

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Hojas de cálculo de Google

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Python

Experiencia:

Integración API

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Clasificación

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Adquisición de Datos