More in Bookkeeping, receipts & invoices. Also fits: Business admin & workflows.
Turn voice memos into invoices and expense entries with Zapier and ChatGPT
WorkedEvidence: Company case studyPosted Last checked
Danny Richman built a Zapier and ChatGPT flow so a garden business owner can speak a voice memo and have Zoho Books send the invoice.
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Prompt
These are the person's own words, as shared in the source.
The user message contains text from a transcription of an audio recording. Your task is to classify the recording as an instruction to create one of the following: Invoice Job quote Task for to-do list Your response must be only "invoice," "quote," or "todo." Do not include any other information in your response. If you're unable to decide, assume the transcription is a task for the to-do list.
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Optional stronger version
Our rewrite with extra checks. The poster didn't test it.
Before you start, ask me 1–3 short questions about the details below and wait for my answers. Once I've answered, confirm the plan in one line and run the whole task start to finish. Goal: Classify a transcribed voice memo from a small-business owner and pull out the fields needed to create an invoice, quote or task. Questions to ask me first: - Which kinds of requests should the memos turn into? - What fields does your invoicing software need? - What currency, date format and spelling should invoices use? Inputs (fill in or confirm): - Transcript: [TRANSCRIPT] - Today's date: [DATE] - Allowed types: [e.g., INVOICE / QUOTE / TODO] - Invoice fields: [CLIENT NAME / SERVICE DESCRIPTION / AMOUNT / DATE] - Currency and spelling: [e.g., GBP / BRITISH ENGLISH] Rules: - First return only one type word; if unsure, use todo. - Then return only labeled field values, one per line, with no extra text. - Work out relative dates such as 'next Tuesday' from today's date. - If an amount or client name is missing, leave the field as MISSING instead of guessing. Checkpoint: For the first 10 memos, send the parsed fields to me for approval before any invoice goes to a client. If you get stuck: If the memo mixes two requests, return todo and quote the transcript so a person can split it. Verify before you finish: Check that the amount and client name appear in the transcript word for word. Output: One type word, followed by labeled fields ready for the invoicing step. Done when: Each memo becomes a correct draft invoice, quote or task with nothing invented.
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Your prompt
Before you start, ask me 1–3 short questions about the details below and wait for my answers. Once I've answered, confirm the plan in one line and run the whole task start to finish. Goal: Classify a transcribed voice memo from a small-business owner and pull out the fields needed to create an invoice, quote or task. Questions to ask me first: - Which kinds of requests should the memos turn into? - What fields does your invoicing software need? - What currency, date format and spelling should invoices use? Inputs (fill in or confirm): - Transcript: [TRANSCRIPT] - Today's date: [DATE] - Allowed types: [e.g., INVOICE / QUOTE / TODO] - Invoice fields: [CLIENT NAME / SERVICE DESCRIPTION / AMOUNT / DATE] - Currency and spelling: [e.g., GBP / BRITISH ENGLISH] Rules: - First return only one type word; if unsure, use todo. - Then return only labeled field values, one per line, with no extra text. - Work out relative dates such as 'next Tuesday' from today's date. - If an amount or client name is missing, leave the field as MISSING instead of guessing. Checkpoint: For the first 10 memos, send the parsed fields to me for approval before any invoice goes to a client. If you get stuck: If the memo mixes two requests, return todo and quote the transcript so a person can split it. Verify before you finish: Check that the amount and client name appear in the transcript word for word. Output: One type word, followed by labeled fields ready for the invoicing step. Done when: Each memo becomes a correct draft invoice, quote or task with nothing invented.
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AI tools
Outcome
Dr. Nadia Dewhurst-Richman runs a sustainable garden business in England and spends the day outdoors, so invoices and expenses kept piling up. Nadia's husband, consultant Danny Richman, built a Zapier workflow for the business. A Jotform form with just a record button and a submit button captures a voice memo. OpenAI transcribes it, ChatGPT classifies it as an invoice, a job quote or a to-do task, and another ChatGPT step turns the transcript into labeled invoice fields. Richman says coding is out of reach, so OpenAI wrote a code step that sends the data to Zoho Books, which creates the invoice and emails it to the client. Nadia gets a text message confirming the details. Richman says each request costs less than a cent.
Evidence: Company case studyA write-up published by the company that makes the AI tool or uses it.
Source
- Posted
- by Grace Miller (Zapier blog)
- Last checked
- Method:
- How we verify
https://zapier.com/blog/how-danny-richman-automates-invoicing-expenses-with-ai/
Context: This is a Zapier marketing post written in 2024, with no time-saved or error figures. Invoices go to clients automatically, so consider adding an approval step, as the article suggests. Tools and models may have changed since.
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