Japanese Text Normalizer (和暦・全角半角・郵便番号)

Normalize messy date strings into clean ISO 8601 or custom date formats. Handles common date formats, relative dates, multilingual inputs, timezone conversion, and returns clear error results for unparseable dates.

Normalize Japanese text for data pipelines: Unicode NFKC (full/half-width unification), wave-dash unification, whitespace cleanup, hiragana/katakana conversion, Japanese-aware sentence splitting, and per-script character stats.

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.

Extract text, page count, title and word count from PDF links. Per-page output optional. Text PDFs only (no OCR).

Extract clean text, LLM-ready Markdown, tables (rows + Markdown), RAG chunks and keyword hits with page numbers from any public PDF URL. Bulk, fast, no AI cost. Failed or scanned PDFs are free.

New U.S. federal grants from Grants.gov by keyword, agency, category and eligibility, only new since the last run, forecasts flagged when they open. Award ceiling, total funding, number of awards, close date, eligible applicants. Official Grants.gov API.

Detect exact and near-duplicate texts in scraped or collected datasets: normalized hashing for exact matches plus character-shingle Jaccard similarity for near matches. Works on Japanese (no word tokenization needed). Returns per-text verdicts and duplicate clusters. No LLM cost.

Weekly check of your own domains: days until domain and SSL expiry, broken SPF/DMARC/DKIM email authentication (the reason mail lands in spam), and DNS / name-server changes since the last run.

Look up US prescription and OTC drugs by brand or generic name, RxCUI or NDC. Returns every strength and form with ingredients, dose form, brand names, NDC package codes, ATC class, pharmacologic class, mechanism of action and conditions treated. Official NLM RxNorm data.

Turn PDF and Word (.docx) files into clean Markdown chunks tagged with page numbers for RAG and LLMs. Fixes vertical Japanese text, strips furigana, removes repeated headers/footers and page numbers, keeps tables.