AI-Parrot Loaders
ai-parrot-loaders provides document loaders for AI-Parrot RAG (Retrieval-Augmented Generation) pipelines. Each loader transforms a specific document format into text chunks that can be embedded and searched.
Installation
pip install ai-parrot-loaders
Install only the extras you need:
pip install ai-parrot-loaders[pdf]
pip install ai-parrot-loaders[youtube]
pip install ai-parrot-loaders[audio]
pip install ai-parrot-loaders[web]
# Everything
pip install ai-parrot-loaders[all]
Available Extras
| Extra | Description |
|---|---|
pdf |
PDF loading with OCR support (PaddleOCR) |
youtube |
YouTube transcript and video download |
audio |
Audio transcription (WhisperX, pyannote) |
web |
HTML/web page loading |
ebook |
EPUB e-book loading |
video |
Video processing (MoviePy, FFmpeg) |
Supported Formats
| Loader | Format | Description |
|---|---|---|
TextLoader |
.txt |
Plain text files |
CSVLoader |
.csv |
CSV files |
ExcelLoader |
.xlsx, .xls |
Excel spreadsheets |
MSWordLoader |
.docx |
Microsoft Word documents |
HTMLLoader |
.html |
HTML files |
MarkdownLoader |
.md |
Markdown files |
PDFLoader |
.pdf |
PDF documents |
PDFMarkdownLoader |
.pdf |
PDF to Markdown conversion |
PDFTablesLoader |
.pdf |
PDF table extraction |
PowerPointLoader |
.pptx |
PowerPoint presentations |
EpubLoader |
.epub |
EPUB e-books |
WebLoader |
URL | Web pages |
YoutubeLoader |
URL | YouTube video transcripts |
VimeoLoader |
URL | Vimeo video transcripts |
AudioLoader |
.mp3, .wav, etc. |
Audio transcription |
VideoLoader |
URL | Video download + transcription |
VideoLocalLoader |
.mp4, etc. |
Local video transcription |
DocumentConverterLoader |
multiple | Auto-detect format and convert |
Quick Start
from parrot_loaders.factory import get_loader_class
# Auto-detect loader by file extension
LoaderClass = get_loader_class("report.pdf")
loader = LoaderClass(source="report.pdf")
documents = await loader.load()
for doc in documents:
print(doc.page_content[:200])
Or use a specific loader directly:
from parrot_loaders.youtube import YoutubeLoader
loader = YoutubeLoader(source="https://www.youtube.com/watch?v=...")
documents = await loader.load()
Requirements
- Python >= 3.11
- ai-parrot >= 0.23.18
License
MIT
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ai_parrot_loaders-0.1.80.tar.gz
(136.2 kB
view details)
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 ai_parrot_loaders-0.1.80.tar.gz.
File metadata
- Download URL: ai_parrot_loaders-0.1.80.tar.gz
- Upload date:
- Size: 136.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b8c5e9e8e7cb68f78d1aa9ac5bdf170ba5f436e702560272038070cac82fa63f
|
|
| MD5 |
db47cadaa70f0cd5d0345cb5003043bd
|
|
| BLAKE2b-256 |
1e70844dc08ac78030c300cb206de5cb08a8855e136372f6b57953bf0b57a6ab
|
Provenance
The following attestation bundles were made for ai_parrot_loaders-0.1.80.tar.gz:
Publisher:
release.yml on phenobarbital/ai-parrot
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
ai_parrot_loaders-0.1.80.tar.gz -
Subject digest:
b8c5e9e8e7cb68f78d1aa9ac5bdf170ba5f436e702560272038070cac82fa63f - Sigstore transparency entry: 2221524548
- Sigstore integration time:
-
Permalink:
phenobarbital/ai-parrot@45860998045634c127f08bf5312f1a196f336266 -
Branch / Tag:
refs/tags/0.25.25a - Owner: https://github.com/phenobarbital
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@45860998045634c127f08bf5312f1a196f336266 -
Trigger Event:
release
-
Statement type:
File details
Details for the file ai_parrot_loaders-0.1.80-py3-none-any.whl.
File metadata
- Download URL: ai_parrot_loaders-0.1.80-py3-none-any.whl
- Upload date:
- Size: 140.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e15c333a1ec965433f43c63ee67b3b81d32e2a419e8956476750fd0d35359459
|
|
| MD5 |
bde44cdc2658ea9e1f4529fefd48c9c0
|
|
| BLAKE2b-256 |
0cce952de2de4a893e2fcc2461458b614b3a15369fe56df86e4322c313cc0f89
|
Provenance
The following attestation bundles were made for ai_parrot_loaders-0.1.80-py3-none-any.whl:
Publisher:
release.yml on phenobarbital/ai-parrot
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
ai_parrot_loaders-0.1.80-py3-none-any.whl -
Subject digest:
e15c333a1ec965433f43c63ee67b3b81d32e2a419e8956476750fd0d35359459 - Sigstore transparency entry: 2221526268
- Sigstore integration time:
-
Permalink:
phenobarbital/ai-parrot@45860998045634c127f08bf5312f1a196f336266 -
Branch / Tag:
refs/tags/0.25.25a - Owner: https://github.com/phenobarbital
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@45860998045634c127f08bf5312f1a196f336266 -
Trigger Event:
release
-
Statement type:
