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"""
FinEE - Finance Entity Extractor
A production-ready library for extracting structured financial entities
from Indian banking messages (SMS, email, statements).
Features:
- 🏦 Multi-Bank Support: 25+ Indian banks
- 💳 All Transaction Types: UPI, NEFT, IMPS, Card, EMI
- 🌐 Multilingual: English, Hindi, Tamil, Telugu, Bengali, Kannada
- 🔍 RAG Enhanced: Context-aware extraction
- ⚡ Fast: <1ms with regex, <100ms with LLM
Example:
>>> from finee import extract
>>> result = extract("Rs.500 debited from A/c 1234 on 01-01-25")
>>> print(result.amount)
500.0
>>> print(result.to_json())
{"amount": 500.0, "type": "debit", "date": "01-01-2025", ...}
Web UI:
>>> from finee.ui import launch
>>> launch() # Opens Gradio UI at http://localhost:7860
API Server:
>>> from finee.api import start_server
>>> start_server() # Starts FastAPI at http://localhost:8000
"""
__version__ = "2.0.0"
__author__ = "Ranjit Behera"
from .schema import (
ExtractionResult,
ExtractionConfig,
TransactionType,
Category,
Confidence,
ExtractionSource,
)
from .extractor import (
FinEE,
extract,
get_extractor,
)
from .cache import (
LRUCache,
get_cache,
clear_cache,
get_cache_stats,
)
from .regex_engine import (
RegexEngine,
extract_with_regex,
)
from .merchants import (
extract_merchant_from_vpa,
get_category_from_merchant,
get_merchant_and_category,
)
from .normalizer import (
normalize_amount,
normalize_date,
normalize_account,
normalize_reference,
)
from .validator import (
repair_llm_json,
validate_extraction_result,
)
from .confidence import (
calculate_confidence_score,
update_result_confidence,
)
from .backends import (
get_available_backends,
get_backend,
)
__all__ = [
# Version
"__version__",
# Main API
"extract",
"FinEE",
"get_extractor",
# Data classes
"ExtractionResult",
"ExtractionConfig",
"TransactionType",
"Category",
"Confidence",
"ExtractionSource",
# Cache
"LRUCache",
"get_cache",
"clear_cache",
"get_cache_stats",
# Regex
"RegexEngine",
"extract_with_regex",
# Merchants
"extract_merchant_from_vpa",
"get_category_from_merchant",
"get_merchant_and_category",
# Normalizer
"normalize_amount",
"normalize_date",
"normalize_account",
"normalize_reference",
# Validator
"repair_llm_json",
"validate_extraction_result",
# Confidence
"calculate_confidence_score",
"update_result_confidence",
# Backends
"get_available_backends",
"get_backend",
]
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