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Pdf Struct Chunker

Pdf Struct Chunker is a Rust library and command-line tool that extracts text from PDFs and divides it into structure-aware chunks for retrieval-augmented generation pipelines. It uses layout signals such as character positions and font sizes, with regex profiles or font-based heuristics, and attaches metadata including section, heading and page. The project describes processing as offline and independent of LLMs, AP

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Pdf Struct Chunker — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it at the PDF ingestion stage when a RAG workflow needs chunks that retain document structure and metadata before embedding.

Who it is for

  • Rust developers adding PDF preprocessing to a document pipeline.
  • RAG builders who need PDF chunks with section, heading and page context.
  • Teams processing legal or regulatory PDFs with section-style markers.

Documented uses

  • Extract and segment PDF text into structure-aware chunks.
  • Prepare PDF content for a later embedding and retrieval stage.
  • Inspect chunk output as JSON or JSONL, or view chunk statistics.
  • Customize line classification with JSON regex profiles.
Before you choose

Requirements & limits

The repository identifies the project as open source under the MIT license. It documents use as a Rust dependency or command-line tool.

  • Requires Rust 1.85 or later according to the repository README.
  • Offers a CLI with JSON and JSONL output, pretty-printing, and statistics options.
  • Uses built-in heuristics described as optimized for legal and regulatory documents; custom JSON regex profiles can be supplied.
  • Produces chunks with structural metadata for downstream use; indexing and embedding are separate stages.
  • The library API accepts PDF bytes and returns chunks in memory.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Chunk a PDF with the command-line tool

Generate formatted JSON chunks from the included sample PDF.

Before you start

  • Rust 1.85 or later.
  • The project repository, which includes a sample PDF fixture.

Steps

  1. Clone the repository and change into its directory.

  2. Run the command below.

    Documented command
    cargo run --release -- -i fixtures/sample.pdf --format json --pretty

  3. Review the JSON output, including each chunk's text and structural metadata.

Expected outcome

Formatted JSON output with chunk text and metadata such as section, heading and page.

Guide limitations

  • This example processes the included sample PDF; the README does not establish results for other PDFs.
  • The README presents sample output but does not document a separate installation or deployment workflow in this recipe.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Retrieval-augmented applications

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
Pdf Struct ChunkerExtract and segment PDF text into structure-aware chunks.The repository identifies the project as open source under the MIT license. It documents use as a Rust dependency or command-line tool.
LangsearchCrawl website or local data for a knowledge base.CLI, Self-hosted, Server
Hybrid Search RagCombine document retrieval and language-model generation in a configurable workflow.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
matthiasnordwig/pdf-struct-chunker · Official homepage title · retained in its source language
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