A PDF data-extraction command that reads documents and turns text, tables, forms, invoices, and receipts into structured output such as CSV or JSON.

Use it to extract formatted text, table rows, form fields, or invoice and receipt details from PDF files.

It removes the need to copy information from PDFs by hand and helps preserve document structure when processing many pages.

How bybren-llc/rendertrust configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to bybren-llc/rendertrust. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/bybren-llc/rendertrust/dev/.gemini/commands/media/extract-pdf.toml

Clone the repo

git clone --depth 1 https://github.com/bybren-llc/rendertrust

Made for: Gemini CLI.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/bybren-llc/rendertrust/extract-pdf.svg)](https://agentmods.dev/commands/bybren-llc/rendertrust/extract-pdf)

Your own site

<a href="https://agentmods.dev/commands/bybren-llc/rendertrust/extract-pdf"><img src="https://agentmods.dev/badge/commands/bybren-llc/rendertrust/extract-pdf.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 510 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00510
Opus 5	$0.00000	$0.00255
Sonnet 5	$0.00000	$0.00102
Haiku 4.5	$0.00000	$0.00051

Measured yesterday against content hash 7a74f9768797, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

extract-pdf scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to extract-pdf — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.gemini/commands/media/extract-pdf.toml · 99 lines

What it actually says

description = "Extract structured data from PDF documents"

prompt = """

Extract PDF Command

Extract structured data from PDF documents using Gemini's multimodal document understanding.

Target: {{args}}

Capabilities

Text extraction with formatting preservation
Table detection and CSV/JSON export
Form field extraction
Invoice/receipt data parsing
Multi-page document processing

Workflow

1. Identify PDF File

!{ls -la {{args}} 2>/dev/null || echo "File not found"}

2. Read and Analyze PDF

Read the PDF file and analyze its structure:

Identify document type (invoice, form, report, contract, etc.)
Detect tables, forms, and structured content
Extract text with section awareness

3. Extract Structured Data

Based on document type:

For Invoices/Receipts:

{
  "vendor": "Company Name",
  "invoice_number": "INV-12345",
  "date": "2025-01-14",
  "items": [
    {"description": "Item 1", "quantity": 2, "price": 99.99}
  ],
  "subtotal": 199.98,
  "tax": 16.00,
  "total": 215.98
}

For Tables:

Column1,Column2,Column3
Value1,Value2,Value3

For Forms:

{
  "field_name": "field_value",
  "checkbox_field": true
}

4. Output Options

Specify output format:

--json - Structured JSON output
--csv - Table data as CSV
--markdown - Formatted markdown
--text - Plain text extraction

Usage Examples

/media:extract-pdf ./invoice.pdf
/media:extract-pdf ~/Documents/contract.pdf --json
/media:extract-pdf ./forms/application.pdf --csv

Batch Processing

For multiple PDFs:

/media:extract-pdf ./invoices/

Will process all PDFs in directory and generate combined output.

Notes

Gemini supports PDFs up to 100MB (Gemini 3)
Complex layouts may require multiple passes
Handwritten text: OCR quality varies
Scanned documents: Ensure good image quality """

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

yesterday First seen · 99 lines · 0 tokens per session scan A 7a74f9768797

Subscribe to this mod's changes

extract-pdf is a command published in the GitHub repository bybren-llc/rendertrust (7 stars, last pushed 5mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 510 tokens. A static security scan graded it A with 0 findings. It is 100% identical to extract-pdf, differing in 0 lines, and is treated as a copy.

Documents PDF

rendertrust: Command for Gemini CLI