latindictionary-io 1.0.3

Python client for the latindictionary.io API — Latin↔English translation, word inspection, inflection tables, and more.

latindictionary-io

Python client for the latindictionary.io REST API — Latin-English translation, auto-detection, AI parsing, and inflection tables.

• Sync + async — Client (httpx) and AsyncClient (httpx.AsyncClient)
• Typed — full type hints, Pydantic v2 response models, py.typed
• Resilient — automatic retries with exponential backoff + jitter
• Python 3.10+

Installation

pip install latindictionary-io

Quick start

from latindictionary_io import Client

with Client() as client:
    # Latin → English
    result = client.latin_to_english("canis")
    print(result)

    # English → Latin
    result = client.english_to_latin("dog")
    print(result)

Async

import asyncio
from latindictionary_io import AsyncClient

async def main():
    async with AsyncClient() as client:
        result = await client.latin_to_english("canis")
        print(result)

asyncio.run(main())

API reference

Both Client and AsyncClient expose the same methods (async versions are awaited).

Constructor

Client(
    base_url="https://api.latindictionary.io/api/v1",
    timeout=30.0,
    max_retries=3,
)

Parameter	Default	Description
base_url	https://api.latindictionary.io/api/v1	REST API base URL
timeout	30.0	Request timeout in seconds
max_retries	3	Max retry attempts (with exponential backoff)

Translation endpoints

latin_to_english(word)

Look up a Latin word and get English definitions.

result = client.latin_to_english("canis")

Parameter	Type	Description
word	str	The Latin word to look up

english_to_latin(word)

Look up an English word and get Latin equivalents.

result = client.english_to_latin("dog")

Parameter	Type	Description
word	str	The English word to look up

auto_detect(text)

Auto-detect the language and translate.

result = client.auto_detect("amor")

Parameter	Type	Description
text	str	The text to translate

Parsing endpoints

latin_parse(text, *, model=None, max_candidates_per_token=None, max_alternates=None, allow_fallback=None)

AI-powered Latin text parsing.

result = client.latin_parse("Gallia est omnis divisa in partes tres")

Parameter	Type	Description
text	str	The Latin text to parse
model	str | None	Optional model identifier
max_candidates_per_token	int | None	Max candidates per token
max_alternates	int | None	Max alternate parses
allow_fallback	bool | None	Allow fallback parsing

inflection_table(lemma, *, entry_id=None, max_entries=None, include_periphrastic=None)

Get the inflection table for a Latin word.

table = client.inflection_table("amo")

Parameter	Type	Description
lemma	str	The dictionary form of the word
entry_id	str | None	Optional entry ID for disambiguation
max_entries	int | None	Maximum number of entries
include_periphrastic	bool | None	Include periphrastic forms

Response models

Pydantic v2 models are available for response validation. All use extra="allow" so additional API fields are preserved.

Model	Used by
TranslationResponse	latin_to_english(), english_to_latin()
AutoDetectResponse	auto_detect()
LatinParseResponse	latin_parse()
InflectionTableResponse	inflection_table()

Exceptions

All exceptions inherit from LatinDictionaryError.

Exception	Description
LatinDictionaryError	Base exception
APIError	Non-success HTTP status (has .status_code, .body)
RateLimitError	HTTP 429 — extends APIError
ConnectionError	Cannot connect to API
TimeoutError	Request timed out
InputValidationError	Local input validation failed

Development

pip install -e ".[dev]"
pytest

License

MIT