Po Acknowledgment Matcher

AI Prompt Keyword Matcher

antonio_espresso/ai-prompt-keyword-matcher

Analyze prompts for fuzzy keyword matches and brand token usage.

Image OCR Extractor 🖼️ (image to text extractor)

tagadanar/image-ocr-extractor

OCR for images: image to text with line and word boxes, confidence and orientation. PNG, JPG, WebP, GIF, BMP, TIFF. Clean-up for low-res photos, 7 languages. No API key.

Turn customer requests for quotation (PDF, Excel, CSV or e-mail text) into a priced quotation draft from your own price list. Every line is either matched with your article and price or sent to review with the reason - it never guesses.

IKEA Deutschland Scraper API: Produktkatalog und Preise

scraperseurope/ikea-germany

IKEA Deutschland auslesen: Artikelnummern, Produktnamen, EUR-Preise, Maße, Farben, Bilder und Online-Verkaufseignung. Paginierte Suche, API und JSON-, CSV- oder Excel-Export für Katalog- und Preisvergleiche.

Cross-Retail Product Matcher

lead.gen.labs/cross-retail-product-matcher

Match Amazon and Walmart products using identifiers, models, specifications, titles, variants, brands, and images.

Validate inline JSON records against JSON Schema Draft 2020-12 or Draft 7. Export per-record results, complete counts and bounded error paths. Local references only; no network fetching.

Watch any web page for changes. Each run compares the page with the version saved before and returns the lines that were added and removed. Watch a whole page or one part of it, ignore noise such as dates and ads, and send changes to Slack, Discord or any webhook.

A powerful AI Apify Actor that intelligently matches products between two datasets using advanced machine learning algorithms and configurable similarity scoring. Perfect for e-commerce catalog matching, product deduplication, and inventory reconciliation.

Retrieves official IBGE 7-digit municipality codes and city directories by Brazilian state (UF) via BrasilAPI for tax issuance (NFS-e/NF-e), logistics routing, and regional B2B intelligence.

Require name, category, and url. Map title to name and trim it; trim and lowercase category; trim url; convert optional price to a number, using null when missing. Keep the first record for each normalized url, then sort by name ascending.