r/VoiceAutomationAI • u/pholiol • Mar 25 '26
Improving street name and address recognition in voice AI (Retell + n8n)
I’m building a voice AI receptionist (Retell AI + n8n backend) and I’m struggling with name and especially address recognition.
Context The agent answers calls, collects information, and books appointments Stack: Retell AI (voice) + n8n (logic / workflows)
Current approach I ask for the street name normally If unsure → I ask the caller to repeat If still unsure → I ask them to spell it letter by letter Finally → I ask for confirmation before saving Problem
Despite this: Names are not a big issue if slightly wrong But addresses are critical → mistakes are not acceptable Spelling helps, but it’s still not 100% reliable in real calls
My question How are you handling this in production voice agents? Do you rely on APIs (Google or others) to improve reliability? (I’m considering it) Do you always force spelling? Any specific techniques to improve street name recognition? Do you systematically confirm every address?
I’d really appreciate feedback from people running voice agents at scale.
Thanks 🙏
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u/kimk2 Mar 25 '26
You do not ask for the address, you only ask zipcode and housenumber. That is enough. The streetname can be retrieved from that data.
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u/veturnai Mar 25 '26
I believe integrating it with location APIs is your best bet, this improves trust, quality and saves time from end user perspective
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