llama-index readers nougat_ocr integration
Project description
Nougat OCR loader
pip install llama-index-readers-nougat-ocr
This loader reads the equations, symbols, and tables included in the PDF.
Users can input the path of the academic PDF document file which they want to parse. This OCR understands LaTeX math and tables.
Usage
Here's an example usage of the PDFNougatOCR.
from llama_index.readers.nougat_ocr import PDFNougatOCR
reader = PDFNougatOCR()
pdf_path = Path("/path/to/pdf")
documents = reader.load_data(pdf_path)
Miscellaneous
An output folder will be created with the same name as the pdf and .mmd extension.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file llama_index_readers_nougat_ocr-0.5.0.tar.gz.
File metadata
- Download URL: llama_index_readers_nougat_ocr-0.5.0.tar.gz
- Upload date:
- Size: 10.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
75da0fac662a790abf08994f84c6d7a481d883e896f09a4261649751b63ef2ce
|
|
| MD5 |
b7392fdf74845086df3ffb761a943b3c
|
|
| BLAKE2b-256 |
f25ebf7e83f3686f589c66824450d25c2d79b4c8e8db35e880c38c0341270f5b
|
File details
Details for the file llama_index_readers_nougat_ocr-0.5.0-py3-none-any.whl.
File metadata
- Download URL: llama_index_readers_nougat_ocr-0.5.0-py3-none-any.whl
- Upload date:
- Size: 9.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.9 {"installer":{"name":"uv","version":"0.10.9","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1ed2e3c5c8a42578f5162d776afbdfd528b9131dfef0be5ad670b0c1e36b6ca4
|
|
| MD5 |
44468c1941a1f87bbef643456cfb65c4
|
|
| BLAKE2b-256 |
3c61ddee0e303c10605a87b110f9cdb9e276a78820996263917959649ea71a55
|
