Alfanous API
Alfanous is a Quranic search engine API that provides simple and advanced search capabilities for the Holy Qur'an. It enables developers to build applications that search through Quranic text in Arabic, with support for Buckwalter transliteration, advanced query syntax, and rich metadata.
Features
- Powerful Search: Search Quranic verses with simple queries or advanced Boolean logic
- Arabic Support: Full support for Arabic text and Buckwalter transliteration
- Rich Metadata: Access verse information, translations, recitations, and linguistic data
- Flexible API: Use as a Python library or RESTful web service
- Faceted Search: Aggregate results by Sura, Juz, topics, and more
- Multiple Output Formats: Customize output with different views and highlight styles
Quickstart
Installation
Install from PyPI using pip:
$ pip install alfanous3
Basic Usage
Python Library
>>> from alfanous import api
# Simple search for a word
>>> api.search(u"الله")
# Advanced search with options
>>> api.do({"action": "search", "query": u"الله", "page": 1, "perpage": 10})
# Search using Buckwalter transliteration
>>> api.do({"action": "search", "query": u"Allh"})
# Get suggestions
>>> api.do({"action": "suggest", "query": u"الح"})
# Get metadata information
>>> api.do({"action": "show", "query": "translations"})
Web Service
You can also use the public web service:
- Search: http://alfanous.org/api/search?query=الله
- With transliteration: http://alfanous.org/api/search?query=Allh
Or run your own web service locally (see alfanous_webapi).
Quick Examples
Search for phrases:
>>> api.search(u'"الحمد لله"')
Boolean search (AND, OR, NOT):
>>> api.search(u'الصلاة + الزكاة') # AND
>>> api.search(u'الصلاة | الزكاة') # OR
>>> api.search(u'الصلاة - الزكاة') # NOT
Fielded search:
>>> api.search(u'سورة:يس') # Search in Sura Yasin
>>> api.search(u'سجدة:نعم') # Search verses with sajda
Wildcard search:
>>> api.search(u'*نبي*') # Words containing "نبي"
Faceted search (aggregate by fields):
>>> api.do({
... "action": "search",
... "query": u"الله",
... "facets": "sura_id,juz"
... })
Documentation
API Reference
Core Functions
api.search(query, **options)- Search Quran versesapi.do(params)- Unified interface for all actions (search, suggest, show)api.get_info(category)- Get metadata information
Search Parameters
Common parameters for api.do() with action="search":
query(str): Search query (required)unit(str): Search unit - "aya", "word", or "translation" (default: "aya")page(int): Page number (default: 1)perpage(int): Results per page, 1-100 (default: 10)sortedby(str): Sort order - "score", "mushaf", "tanzil", "subject" (default: "score")view(str): Output view - "minimal", "normal", "full", "statistic", "linguistic" (default: "normal")highlight(str): Highlight style - "css", "html", "bold", "bbcode" (default: "css")script(str): Text script - "standard" or "uthmani" (default: "standard")vocalized(bool): Include Arabic vocalization (default: True)translation(str): Translation ID to includerecitation(str): Recitation ID to include (1-30, default: "1")fuzzy(bool): Enable fuzzy search (default: False)facets(str): Comma-separated list of fields for faceted searchfilter(dict): Filter results by field values
For a complete list of parameters and options, see the detailed documentation.
Advanced Features
Query Syntax
Alfanous supports advanced query syntax:
- Phrases: Use quotes -
"الحمد لله" - Boolean AND: Use
+-الصلاة + الزكاة - Boolean OR: Use
|-الصلاة | الزكاة - Boolean NOT: Use
--الصلاة - الزكاة - Wildcards: Use
*for multiple chars,?for single char -*نبي*,نعم؟ - Fielded Search: Use field name -
سورة:يس,سجدة:نعم - Ranges: Use
[X الى Y]-رقم_السورة:[1 الى 5] - Partial Vocalization: Search with some diacritics -
آية_:'مَن' - Root/Lemma: Use
>>for root,>for lemma ->>مالك,>مالك - Tuples: Use
{root,type}-{قول،اسم}
Faceted Search
Faceted search allows you to aggregate search results by fields:
>>> result = api.do({
... "action": "search",
... "query": u"الله",
... "facets": "sura_id,juz,chapter"
... })
>>> print(result["search"]["facets"])
Available facet fields:
sura_id- Sura (chapter) number (1-114)juz- Juz (part) number (1-30)hizb- Hizb (section) numberchapter- Main topic/chaptertopic- Subtopicsura_type- Meccan/Medinan classification
Filtering Results
Filter search results by field values:
>>> api.do({
... "action": "search",
... "query": u"الله",
... "filter": {"sura_id": "2"} # Only from Sura Al-Baqarah
... })
Search Fields
Available fields for fielded search:
سورة(sura) - Sura nameرقم_السورة(sura_id) - Sura numberرقم_الآية(aya_id) - Verse numberجزء(juz) - Juz numberحزب(hizb) - Hizb numberصفحة(page) - Page number in Mushafسجدة(sajda) - Has prostrationموضوع(subject) - Subject/themeفصل(chapter) - Chapterباب(subtopic) - Subtopicنوع_السورة(sura_type) - Sura type (Meccan/Medinan)
For the complete field list, call:
>>> api.do({"action": "show", "query": "fields"})
Output Views
Different views provide different levels of detail:
- minimal - Basic verse text and identifier
- normal - Verse text with essential metadata
- full - All available information
- statistic - Include statistical information
- linguistic - Include linguistic analysis
Example:
>>> api.do({
... "action": "search",
... "query": u"الله",
... "view": "full",
... "word_info": True,
... "aya_theme_info": True
... })
Metadata Access
Get various metadata using the "show" action:
# Get list of available translations
>>> api.do({"action": "show", "query": "translations"})
# Get list of recitations
>>> api.do({"action": "show", "query": "recitations"})
# Get Sura information
>>> api.do({"action": "show", "query": "surates"})
# Get search fields
>>> api.do({"action": "show", "query": "fields"})
# Get default values
>>> api.do({"action": "show", "query": "defaults"})
Adding New Translations
You can extend the local search index with additional Zekr-compatible .trans.zip translation files using index_translations(). This requires the alfanous_import package (included in the repository under src/alfanous_import/).
import alfanous.api as alfanous
# Index all .trans.zip files found in a folder
count = alfanous.index_translations(source="/path/to/translations")
print(f"{count} translation(s) newly indexed")
The function:
- Iterates over every
*.trans.zipfile insource - Skips translations that are already in the index (idempotent — safe to call repeatedly)
- Returns the count of newly indexed translations (
0means nothing new was added) - Automatically updates
configs/translations.jsonso the new translations are immediately visible viaapi.get_info("translations")and searchable withunit="translation"
After indexing, search in the new translation:
# Search in a newly indexed translation
result = alfanous.search(u"الرحمن", unit="translation", flags={"translation": "en.newt"})
See examples/index_translations_example.py for a complete walkthrough.
Examples
The examples/ directory contains example scripts demonstrating various features:
- facet_search_examples.py - Faceted search and filtering examples
See examples/README.md for more information.
MCP Server
Alfanous ships an MCP (Model Context Protocol) server that lets AI assistants (Claude, Copilot, etc.) search and explore the Qur'an directly. See alfanous_mcp/README.md for the full reference.
Quick start:
$ pip install alfanous3-mcp
$ python -m alfanous_mcp.mcp_server # stdio – works with Claude Desktop
To connect Claude Desktop, add the following to your claude_desktop_config.json:
{
"mcpServers": {
"alfanous": {
"command": "python",
"args": ["-m", "alfanous_mcp.mcp_server"]
}
}
}
The server is also published to the GitHub MCP Registry — you can install it with a single click from there.
Web Interface
Alfanous includes a FastAPI-based web service for RESTful access. See alfanous_webapi/README.md for:
- Installation and setup
- API endpoints
- Request/response examples
- Interactive API documentation (Swagger UI)
Quick start:
$ pip install alfanous3 fastapi uvicorn
$ cd src/
$ uvicorn alfanous_webapi.web_api:app --reload
Then visit http://localhost:8000/docs for interactive documentation.
Contributing
We welcome contributions! See CONTRIBUTING.md for:
- Setting up a development environment
- Building from source
- Running tests
- Submitting pull requests
- Code style guidelines
Quick development setup:
# Clone the repository
$ git clone https://github.com/Alfanous-team/alfanous.git
$ cd alfanous
# Install dependencies
$ pip install pyparsing whoosh pytest
# Build indexes (required for development)
$ make build
# Run tests
$ pytest -vv --rootdir=src/
Support
- GitHub Issues: https://github.com/Alfanous-team/alfanous/issues
- Mailing List: alfanous@googlegroups.com
- Website: http://alfanous.org
License
Alfanous is licensed under the GNU Lesser General Public License v3 or later (LGPLv3+).
See LICENSE for details.
Credits
- Contributors: See AUTHORS.md and THANKS.md
This project handles sacred religious text (the Holy Qur'an) - please treat the data and code with respect.
Legacy
If you are looking for the legacy Alfanous code, you can find it under the legacy branch.