Arabic Pipeline API
Pay-per-call Arabic text, audio and document utilities over x402. USDC on Base, no API key.
| Endpoint | https://arabic-pipeline-mcp.arabic-pipeline.workers.dev (streamable-http) |
|---|---|
| Registry version | 0.2.0 |
| Now | 9 tools · grade A (90) · pin ts_d5062a1501f747cd4ff1ebdf2477ee82 · protocol 2025-06-18 |
| First / last listed | 2026-11-15 01:21 UTC / 2026-11-15 01:21 UTC |
| Grade over time | 2026-11-15: A (90), 9 tools |
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Tools: text_metrics text_normalize text_detect_language text_chunk text_diff text_search audio_transcribe doc_extract doc_extract_batch
text_metrics | Measure text deterministically: characters, words, unique words, sentences, lines, paragraphs, digits, punctuation, average word and sentence length, reading time and an Arabic/Latin language mix. Works on any language, not only Arabic. params: text* |
text_normalize | Canonicalise Arabic text for search, matching or indexing: remove tashkeel and tatweel, fold alef/ya/ta-marbuta, unify Arabic-Indic digits, strip bidi control characters and collapse whitespace. mode=light is lossless; search adds letter folding; index also strips punctuation so the result can be used as a dedup key. params: text*, mode |
text_detect_language | Identify whether text is Arabic, English, mixed or unknown from its script mix, with a confidence score and the count of Arabic, Latin and other letters. Deterministic and model-free, so it is cheap enough to run on every incoming message to route Arabic work. params: text* |
text_chunk | Split long text into chunks for a model context window. Cuts at sentence boundaries when possible, then at word boundaries, and never mid-word unless a single word is longer than max_chars. Returns each chunk with exact start/end offsets into the original string plus an optional overlap for context carry-over. params: text*, max_chars, overlap |
text_diff | Compare two texts word by word after Arabic normalisation (tashkeel, alef/ya/ta-marbuta and digit variants are treated as equal). Returns an equal flag, a similarity score and the added and removed words. Use it for deduplication, re-import checks and QA of edited Arabic copy. Each side is limited to 1500 words. params: a*, b* |
text_search | Search Arabic (or any) text with normalisation: tashkeel, alef/ya/ta-marbuta, hamza and Arabic-Indic digit variants are ignored, so فَاطِمَة matches فاطمة and ١٢٣ matches 123. mode=words (default) matches whole words, phrase matches any substring, fuzzy tolerates up to max_distance edits per word. Returns exact start/end offsets into the original text plus a context snippet. params: text*, query*, mode, max_results, context_chars, max_distance |
audio_transcribe | Transcribe Arabic or English speech to plain text. Send the audio as base64 (webm, mp3, wav or mp4); the payload limit is 12 MB of base64. Returns the transcript plus the model that produced it. params: audio_base64*, mime_type |
doc_extract | Extract structured fields from an Arabic document image or PDF (receipts, invoices, official letters, national IDs, bank slips) as JSON: amounts, dates, names, identifiers and tax numbers, with null for fields the document does not contain. Send the file as base64 (jpeg, png or pdf); the limit is 12 MB of base64. params: document_base64*, mime_type |
doc_extract_batch | Extract structured fields from 1 to 5 Arabic documents in one paid call: $0.10 for the batch, i.e. $0.02 per document instead of $0.03. Documents are processed independently and in parallel, results come back in request order with an echoed id, and one unreadable image does not fail the rest (it appears with ok=false and an error). Use this for a stack of receipts, invoices or bank slips. params: documents*, mime_type |
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