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Farsi Sentence Tokenizer
x402
Farsi Sentence Tokenizer is a paid API for AI agents from farsi-tools.johnaio281.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-29).
Splits Persian (Farsi) text into individual sentences and returns them as an array with a count
Price / call$0.005
Success—
StatusUnknown
How this service works
Persian (Farsi) and Iranian utility API for AI agents. Text normalization, transliteration, Jalali (Solar Hijri) calendar conversion, Persian digits and number-to-words, Iranian national ID / Sheba (IBAN) / mobile / landline / postal code / bank card (Luhn PAN) / company ID / economic code validators, Iranian provinces and cities, official Jalali holidays, Rial-Toman conversion. Also a FIXED-PRICE deliverable SKU: Persian/Arabic data cleanup at $0.90, $9 or $25 flat per file (not per call) - upload a CSV, TSV or text file and get it back normalized, with an optional Latin transliteration column. Pay per request in USDC on Base via x402 - no signup, no API key, no KYC.
Output
Returns a JSON object with a 'count' integer indicating the number of sentences detected, and a 'sentences' array containing each individual Persian sentence as a string element.
Example use cases
Persian NLP preprocessing pipeline
“I have this Farsi paragraph and I need it broken into individual sentences so I can process each one separately: 'امروز هوا خوب است. من به پارک رفتم. بسیار لذت بردم.'”
Sentence count audit for Farsi document
“How many sentences are in this Persian text? 'ایران کشوری با تاریخ غنی است. فرهنگ آن بسیار متنوع است. مردم آن مهماننواز هستند.'”
Farsi subtitling segmentation
“Break this Farsi script into sentences so I can use each one as a separate subtitle line: 'صبح بخیر. امیدوارم روز خوبی داشته باشی. آمادهای؟'”
Technical details
Endpoint
GEThttps://farsi-tools.johnaio281.workers.dev/api/fa/sentences?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need reliable sentence boundary detection specifically for Persian/Farsi text, which has unique punctuation and spacing conventions that generic multi-language tokenizers handle poorly. Ideal for NLP preprocessing pipelines, document analysis, or any task requiring sentence-level segmentation of Farsi content.
Side effects
- Missing required 'text' query parameter returns an error
- Text exceeding 100,000 characters may be rejected
- Non-Persian or mixed-script text may produce unexpected segmentation
- Payment failure via x402 returns 402 Payment Required
- Malformed query parameters return 400 Bad Request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"count": 3,
"sentences": [
"سلام.",
"حالت چطوره؟",
"خوبم!"
]
}
}Tags
x402
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