Skip to main content

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

License

MIT

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-0.3.0.tar.gz (136.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ai_parrot_loaders-0.3.0-py3-none-any.whl (140.9 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_loaders-0.3.0.tar.gz.

File metadata

  • Download URL: ai_parrot_loaders-0.3.0.tar.gz
  • Upload date:
  • Size: 136.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for ai_parrot_loaders-0.3.0.tar.gz
Algorithm Hash digest
SHA256 d43105c6690f16182257a1469cc614e9c4c7032a4bef379219f04749dda110f1
MD5 a4d88bddedff0d587edea64c0891c4c7
BLAKE2b-256 0068e83b63ea7c17e6b91f012a0ea5dd532d768f7db5314cc11923681c1fa13f

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_loaders-0.3.0.tar.gz:

Publisher: release.yml on phenobarbital/ai-parrot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ai_parrot_loaders-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_loaders-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 06d3f7a3c9fa20a2a5d3e929b9ff5954db6826180f110ecab791f0b8b110d0ce
MD5 00aca6923a276c01783352202eb66aec
BLAKE2b-256 015bfcace1643d2a4ef325922597fae34bb7b26fc955277d41c6d741bf4a51a8

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_loaders-0.3.0-py3-none-any.whl:

Publisher: release.yml on phenobarbital/ai-parrot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

This release

0.3.0 This release

2 files

0.2.1

2 files

0.2.0

1 file

0.1.90

2 files

0.1.89

2 files

0.1.88

2 files

0.1.87

1 file

0.1.86

2 files

0.1.85

2 files

0.1.83

1 file

0.1.82

1 file

0.1.81

2 files

0.1.80

2 files

0.1.79

2 files

0.1.76

2 files

0.1.75

2 files

0.1.74

2 files

0.1.73

2 files

0.1.72

2 files

0.1.71

2 files

0.1.70

2 files

0.1.68

2 files

0.1.67

2 files

0.1.66

2 files

0.1.65

2 files

0.1.64

2 files

0.1.63

2 files

0.1.62

2 files

0.1.61

2 files

0.1.60

2 files

0.1.59

2 files

0.1.58

2 files

0.1.57

2 files

0.1.55

2 files

0.1.54

2 files

0.1.53

2 files

0.1.52

2 files

0.1.51

2 files

0.1.50

2 files

0.1.49

2 files

0.1.48

2 files

0.1.47

2 files

0.1.46

2 files

0.1.45

2 files

0.1.44

2 files

0.1.43

2 files

0.1.42

2 files

0.1.41

2 files

0.1.40

2 files

0.1.39

2 files

0.1.37

2 files

0.1.35

2 files

0.1.34

2 files

0.1.33

2 files

0.1.32

2 files

0.1.31

2 files

0.1.30

2 files

0.1.28

2 files

0.1.27

2 files

0.1.26

2 files

0.1.25

2 files

0.1.24

2 files

0.1.23

2 files

0.1.22

1 file

0.1.21

1 file

0.1.19

2 files

0.1.18

2 files

0.1.17

2 files

0.1.16

2 files

0.1.15

2 files

0.1.14

2 files

0.1.13

2 files

0.1.12

2 files

0.1.11

2 files

0.1.10

2 files

0.1.8

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page