Stem Extraction

Stems | ST‑02 uses Facebook’s Demucs library to separate vocals, drums, bass, and other elements into individual WAV files for analysis, remixing, or education. Minimal setup yields high‑quality audio, ideal for producers, DJs, and learners.

SplitSong.com uses AI to separate uploaded MP3, WAV, or YouTube audio into individual stems—drums, bass, guitars, keys, vocals—ready for download, remixing, karaoke, or instrument study, all without any installation.

Splitter.ai automatically separates audio into 5‑stem (vocals, drums, bass, piano, other) or 2‑stem (vocal, instrumental) tracks, removes reverb, and processes YouTube and cloud uploads. It offers an API for developers and supports producers, DJs, forensic, and karaoke use.

Petal is an AI document analysis platform that links to your knowledge bases to deliver context‑aware, fully sourced answers. It centralizes files in a cloud drive, auto‑extracts metadata, removes duplicates, and supports annotation and collaboration without email.

Extracta.ai automates data extraction from CVs, invoices, and images with ease. Define templates or upload files to obtain structured data quickly. Benefit from smart technology for seamless integration and intelligent automation.

Unstract is an open‑source, no‑code platform that automates structured data extraction from unstructured documents using LLMs. It features reusable prompts, Human‑in‑the‑Loop verification, and dual‑LLM hallucination mitigation for secure, compliant use across finance, insurance, and healthcare.

Textraction converts raw text into structured data by extracting user‑defined entities via a JSON schema. It returns JSON with fields like price, location, and bedroom count, and works across real‑estate, CVs, finance, and more, integrating smoothly with automation tools.