gb.Giuseppe BecchiFotolitografie Fiorentine
ITEN
Back to projects
AI & automation

AudioSense

AudioSense — from WhatsApp voice notes to documents

A WhatsApp assistant that turns voice notes, text and images into transcriptions and Word or PDF documents.

Project type
In-house project

The project at a glance · Illustrated overview

From words to a document.

  1. Illustration: Messages

    Messages

    Voice notes, text and images on WhatsApp.

  2. Illustration: Transcription

    Transcription

    Audio becomes usable text.

  3. Illustration: Context

    Context

    Multiple inputs collected into one task.

  4. Illustration: Documents

    Documents

    Reports and notes in Word and PDF.

Project value

Bringing people’s language into software.

AudioSense website: transcription, summaries and documents through WhatsApp
Project interface

01

The challenge

Field professionals capture information as voice notes and photographs and need usable written documentation.

02

The solution

Webhooks receive messages and media, queued jobs process them, and OpenAI produces structured responses. Document-generation components assemble the output and deliver it through WhatsApp.

03

Capabilities

  • Voice, text and image intake.
  • OpenAI audio transcription.
  • Structured responses and conversation context.
  • Multiple contributions for reports, minutes and photo notes.
  • Word and PDF generation and delivery.
  • Message and webhook status tracking.

AUDIOSENSE / THE DIRECTION I’M BUILDING TOWARDS

From documents to operations

I want to bring this approach to future business applications, enabling staff to interact with systems and carry out complex operations through WhatsApp. This is the direction of my next projects, shaped around each client’s workflows.

Next project

BiblioToscana

LET’S BUILD WHAT’S NEXT

Start with the problem to solve.

A workflow to organise, systems to connect or a product to build. The first step is understanding the people, needs and constraints.

Let’s talk about your software