---
name: "Evaluate document parsers for agent ingestion with ParseBench"
slug: "evaluate-document-parsers-for-agent-ingestion-with-parsebench"
description: "Use ParseBench to run repeatable document-parser evaluations before an agent relies on PDF, table, chart, or enterprise-document output for downstream decisions."
github_stars: 474
verification: "security_reviewed"
source: "https://github.com/run-llama/ParseBench"
author: "LlamaIndex"
publisher_type: "open_source"
category: "Data Extraction & Transformation"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "run-llama/ParseBench"
  github_stars: 474
---

# Evaluate document parsers for agent ingestion with ParseBench

Use ParseBench when an operator needs evidence about whether a document parsing pipeline is reliable enough for agent ingestion. The workflow is to select a parser or model runner, run ParseBench against representative documents, inspect structure-preservation scores, and decide whether the parsed output is safe to feed into retrieval, extraction, or decision-support agents.

## Prerequisites

ParseBench source checkout; uv; API keys for the parser or model pipeline being evaluated

## Installation

Clone the official repository and install the runner dependencies:

```bash
git clone https://github.com/run-llama/ParseBench.git
cd ParseBench
uv sync --extra runners
```

Run a small test benchmark before moving to a full evaluation:

```bash
uv run parse-bench run llamaparse_agentic --test
uv run parse-bench run llamaparse_agentic
uv run parse-bench serve llamaparse_agentic
```

Useful evaluation commands from the upstream README:

```bash
uv run parse-bench pipeline
uv run parse-bench download --test
uv run parse-bench status
uv run parse-bench compare <pipeline_a> <pipeline_b>
uv run parse-bench leaderboard
```

- Source: https://github.com/run-llama/ParseBench
- Extracted from upstream docs: https://raw.githubusercontent.com/run-llama/ParseBench/HEAD/README.md

## Documentation

- https://github.com/run-llama/ParseBench
- https://parsebench.ai

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/evaluate-document-parsers-for-agent-ingestion-with-parsebench/)