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20
.gitea/workflows/test.yaml
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name: pdf2text test
run-name: syntax check
on: [push]
jobs:
Compile:
runs-on: ubuntu-latest
steps:
- name: Check out repository code
uses: actions/checkout@v4
- name: List files in the repository
run: |
ls ${{ gitea.workspace }}
- run: echo "Install dependencies."
- run: apt update
- run: apt install python3
- run: python3 -m pip install -r requirements.txt
- run: "Check if starts correcly. Syntax check."
- run: ./pdf2text .
- run: echo "This job's status is ${{ job.status }}."

9
README.md
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I've converted 8gb of PDF's to text in one afternoon on a decade old x270 using this script. Performant enough imho. Try to get 8Gb in your LLM and getting it to actually use it. That's the challenge. I've converted 8gb of PDF's to text in one afternoon on a decade old x270 using this script. Performant enough imho. Try to get 8Gb in your LLM and getting it to actually use it. That's the challenge.
## Convert all PDF's to text ## Convert all PDF's to text
This is an [script](/pdf2text) for converting a batch of PDF's to text for machine learning. This is an script for converting a batch of PDF's to text for machine learning.
It only has two dependencies: It only has two dependencies:
- `python3` - python3
- `pdf.miner` (python requirement, specified in [requirements.txt](/requirements.txt) file) - pdf.miner (python requirement, specified in requirements.txt file)
## Installation ## Installation
```bash ```bash
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./pdf2text [source/destination dir] ./pdf2text [source/destination dir]
``` ```
You read that correctly, the source directory is also the destination directory. You read that correctly, the source directory is also the destination directory.
## Todo:
Make decent python package so it's installable on system without having to load environment first. Not sure if worth it, it's not something you daily use.