1

Define your parameter based on data sensitivity.

2

Build Job File

Build your job as yaml file containing the parameters in your target programming language.

Minimal job example:

files:
- filename1.mp3
- filename2.wav
model:
- mini
3

Submit Job File

​
Parameters

​
files
list
required

List of local input audio file name(s).

Example:

files:
- filename1.mp3
- filename2.wav
​
model
string
default:"mini"

Model tier to use for phi reduction. Pass advanced if you want to use advanced reasoning via our private-LLM. Available model’s: advanced, mini.

Advanced vs. Mini

Choose the right model.

Example:

model:
- mini

Example:

model:
- advanced
​
task
string
default:"protect"

Task to apply to attached files. Available task’s: protect, transcribe.

Example:

task:
- transcribe
​
agents
list
default:"health-generic"

Agents with specififc domain dependency and purpose. Example:

model:
- advanced
agents:
- hipaa
​
language
string
default:"en"

Set the target language for transcription. Example:

language:
- en

Available Agents

Front-desk health calls or clinical reports, our agents take care of most sensitive Lables.

​
Submit your Job using Voice Habor’s SDK

Speech to text is by default applied for the task protect. To have the transcription without any reduction use transcribe as task.

BASE_URL = "https://voiceharbor.ai"
usage_token = "USAGE_TOKEN"
# Create a new job on the server via the class method.
job_id = VoiceHarborClient.create_job(BASE_URL, usage_token)

client = VoiceHarborClient(
    base_url=BASE_URL,
    job_id=job_id,
    token=usage_token,
    inputs_dir="./inputs/tests"
)

# Submit input files and the job file. 
job_params = {"files": [], "model":"mini"}  
job_params = client.submit_files(job_params)
job_file = client.submit_job(job_params)
logger.info(f"Job file created: {job_file}")

​
Get Started with SDK

Start coding today using Python and integrate the Voice Harbor API into your workflows.

Python SDK

Start using our Python SDK to connect with Voice Harbor and implement voice solutions