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Evidence-Grounded PDF Data Extraction to

$25/hr Starting at $25

I provide AI-assisted, evidence-grounded data extraction from complex PDF documents, especially annual reports, sustainability/ESG reports, financial reports, and other corporate documents.

You provide the PDFs and the questions, metrics, or fields you need. I adapt my Python-based document analysis and RAG workflow to your requirements and deliver the results as structured Excel, CSV, or JSON data.

Unlike basic PDF scraping or OCR, my workflow is designed for questions that may appear across different pages, tables, sections, and document layouts. Each supported result can include the exact source page and supporting evidence, making the extracted data traceable and easier to validate.

If the document does not contain sufficient evidence for an answer, I can explicitly return NOT_FOUND instead of guessing or fabricating a value.

Typical use cases include:
• Extracting ESG and sustainability metrics across many companies
• Collecting financial or operational metrics from annual reports
• Answering a predefined questionnaire across multiple PDFs
• Converting recurring report research into structured Excel/CSV datasets
• Extracting values, units, years, and source-page references
• Batch processing document collections with consistent output

My workflow can be customized for your terminology, questions, units, output schema, and document type. For larger projects, I recommend starting with a small paid pilot to validate the extraction rules before processing the full document set.

Deliverables can include: Excel, CSV or JSON output, extracted values, units, FOUND/NOT_FOUND status, source-page references, and supporting evidence where requested.

This is a managed document-analysis and data-extraction service. My pre-existing RAG/document-processing engine, internal tools, prompts, retrieval logic, and source code are not included in the deliverables unless separately agreed.

Keywords: Python, RAG, LLM, PDF Data Extraction, Document Analysis, Structured Data Extraction, Excel, CSV, Annual Reports, Sustainability Reports, ESG Data, Financial Reports

About

$25/hr Ongoing

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I provide AI-assisted, evidence-grounded data extraction from complex PDF documents, especially annual reports, sustainability/ESG reports, financial reports, and other corporate documents.

You provide the PDFs and the questions, metrics, or fields you need. I adapt my Python-based document analysis and RAG workflow to your requirements and deliver the results as structured Excel, CSV, or JSON data.

Unlike basic PDF scraping or OCR, my workflow is designed for questions that may appear across different pages, tables, sections, and document layouts. Each supported result can include the exact source page and supporting evidence, making the extracted data traceable and easier to validate.

If the document does not contain sufficient evidence for an answer, I can explicitly return NOT_FOUND instead of guessing or fabricating a value.

Typical use cases include:
• Extracting ESG and sustainability metrics across many companies
• Collecting financial or operational metrics from annual reports
• Answering a predefined questionnaire across multiple PDFs
• Converting recurring report research into structured Excel/CSV datasets
• Extracting values, units, years, and source-page references
• Batch processing document collections with consistent output

My workflow can be customized for your terminology, questions, units, output schema, and document type. For larger projects, I recommend starting with a small paid pilot to validate the extraction rules before processing the full document set.

Deliverables can include: Excel, CSV or JSON output, extracted values, units, FOUND/NOT_FOUND status, source-page references, and supporting evidence where requested.

This is a managed document-analysis and data-extraction service. My pre-existing RAG/document-processing engine, internal tools, prompts, retrieval logic, and source code are not included in the deliverables unless separately agreed.

Keywords: Python, RAG, LLM, PDF Data Extraction, Document Analysis, Structured Data Extraction, Excel, CSV, Annual Reports, Sustainability Reports, ESG Data, Financial Reports

Skills & Expertise

Artificial IntelligenceData ExtractionData ManagementJSONProgrammingPythonReportsResearch

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