voiceform-fill 2025.12.22111543

voiceform‑fill turns spoken answers into structured form text using advanced models, enabling hands‑free, accurate data entry.

Voiceform Fill

Streamline your form-filling processes with Voiceform Fill, a package designed to convert voice input into structured, formatted text. This tool is ideal for applications where hands-free data entry is necessary, such as surveys, customer feedback forms, or any scenario where users need to quickly and accurately input information without typing.

Installation

pip install voiceform_fill

Usage

from voiceform_fill import voiceform_fill

user_input = "example text"
api_key = None
llm = None

response = voiceform_fill(user_input=user_input, api_key=api_key, llm=llm)

Optional Parameters

• user_input: str - the user input text to process
• llm: Optional[BaseChatModel] - the langchain llm instance to use, if not provided the default ChatLLM7 will be used
• api_key: Optional[str] - the api key for llm7, if not provided the default LLM7 key will be used from the environment variable LLM7_API_KEY or a default key will be used

Customizing LLM

For advanced use cases, you can safely pass your own llm instance (based on https://docs.langchain.com/) by passing it like voiceform_fill(... llm=their_llm_instance), for example to use the openai (https://docs.langchain.com/providers/openai):

from langchain_openai import ChatOpenAI
from voiceform_fill import voiceform_fill

llm = ChatOpenAI()
response = voiceform_fill(user_input="example text", llm=llm)

or to use the anthropic (https://docs.langchain.com/providers/anthropic):

from langchain_anthropic import ChatAnthropic
from voiceform_fill import voiceform_fill

llm = ChatAnthropic()
response = voiceform_fill(user_input="example text", llm=llm)

or google (https://docs.langchain.com/providers/google):

from langchain_google_genai import ChatGoogleGenerativeAI
from voiceform_fill import voiceform_fill

llm = ChatGoogleGenerativeAI()
response = voiceform_fill(user_input="example text", llm=llm)

LLM Rate Limits

The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you want higher rate limits for LLM7, you can pass your own api_key via environment variable LLM7_API_KEY or by passing it directly like voiceform_fill(... api_key="their_api_key"). You can get a free api_key by registering at https://token.llm7.io/

Repository

This package's issues can be found at: https://github.com/chigwell/voiceform-fill

Author

Eugene Evstafev [e-mail]