AI Helpers — Documentation
generated from each package's NumPy-style docstrings.
Install the suite with
pip install "ai-helpers[all]"
← AI Helpers home
Contents
Core
os-helper
Cross-platform file, system, hash, config and timing/profiling utilities — the base every other helper builds on.
Audio & Voice
audio-helper
Load, convert, split and concatenate audio; optional source separation.
vocal-helper
Live PCM → Voice Activity Detection → online speaker diarization → Speech to Text → optional LLM summary.
Video & Capture
video-helper
Video conversion, handling and frame extraction.
capture-helper
Camera and microphone capture with a uniform streaming interface.
Acquisition
youtube-helper
yt-dlp-based media acquisition — download and stream from YouTube and hundreds of other sites.
podcast-helper
Universal audio-stream consumer.
Storage & Transfer
bucket-helper
S3-compatible object storage: upload, download, mirror and stage-and-share patterns.
sftp-helper
SFTP: upload, download, mirror.
Misc
md2star
Markdown → DOCX/PPTX/PDF bridge on Pandoc, with curated styling, Mermaid rendering and bibliography support.
wallet-helper
Never run the same heavy call twice: persistent, content-addressed memoization + single-flight. A toolbox, close in spirit to os-helper.
standpoint
Turn a comparison table into a labelled 2D positioning map, a written analysis and a YAML of coordinates — PCA perceptual maps, one command.
best-engine-ai-helper
Pick and pull the best local LLM / VLM for the current machine's hardware — memory-aware model selection over Ollama.
ann-router
Route to the right approximate-nearest-neighbour backend (exact/turbovec/HNSW/FAISS/Annoy/Qdrant/pgvector) from measured problem criteria, with a justified, discussable rationale.
elbow-helper
Noise-robust knee/elbow detection: reports a knee with uncertainty, or explicitly abstains rather than guessing.
Links
Generated with Sphinx (autodoc + napoleon, Read the Docs theme) from each package's NumPy-style docstrings.