GHL Voice Message Transcription Just Got Smarter

New QR Code Styling Options: Shapes, Borders, and Rim Text

What it does:
Lets you stop using boring QR codes. You can now tweak the shape, style the border, and add text around the edge.

Where in GHL:
Accessible via Sites → QR Codes and within QR tools embedded in Funnel and Website builders.

Impact:
Improves visual presentation and brand alignment while increasing scan appeal.

Best suited for:
Agencies that care about branding, small businesses running local promotions, online stores, and teams pushing QR campaigns.

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Collapse & Resize Pipeline Stages in Kanban View

What it does:
Lets you hide pipeline stages you’re not actively using and adjust column widths so your board fits the way you work.

Where in GHL:
Inside Opportunities when you’re viewing your pipeline in Kanban mode.

Impact:
No more dragging your screen forever just to find the deals that matter.

Best suited for:
Owners running multi-stage pipelines, reps working deals every day, and anyone fed up with a messy board.

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Notes Just Got Smarter for the Contacts Page

What it does:
Upgrades the notes area so it’s easier to write, review, and keep things organized inside a contact record.

Where in GHL:
Found directly within each contact’s profile under Notes.

Impact:
Makes it simpler to see what’s been discussed and who added what — without digging through clutter.

Best suited for:
Teams collaborating on accounts and businesses that document every client touchpoint.

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New Asana Actions in Workflows – Find Project & Find Section

What it does:

Lets your workflow check what already exists in Asana before adding anything new.

Where in GHL:
Go to Workflows, add an action, and choose the Asana integration.

Impact:
No more duplicate projects. No more messy task boards. Just cleaner automation.

Best suited for:
Operations teams and agencies that rely on Asana to manage client delivery.

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Email AI + Knowledge Base Integration

• What it does:
  Allows Email AI to reference your Knowledge Base for smarter, more accurate responses.
• Where in GHL:
  Found in Conversations → Email composer with AI enabled and Knowledge Base settings under AI configuration.
• Impact:
  Smarter email suggestions that understand your business and help you reply quicker.
• Best suited for:
  Support teams, agencies managing inboxes, and businesses scaling communication with AI.

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Dialer: Auto-Minimize, Pin & Drag

• What it does:
  Lets you auto-minimize the dialer during calls, pin it in place, and drag it anywhere on screen.
• Where in GHL:
  Found in Conversations → Dialer.
• Impact:
  Cleaner workspace and easier multitasking during sales or support calls.
• Best suited for:
  Sales teams, outbound callers, appointment setters, and agencies making daily calls.

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Schema Markup Using AI

• What it does:
  Generates structured schema markup automatically using AI for SEO enhancement.
• Where in GHL:
  Found in Sites → Website or Funnel settings within AI or SEO sections.
• Impact:
  Improves search visibility without manual coding.
• This works well for:
  Teams building websites that need stronger search visibility, from agencies to small local businesses.

Every voice note starts with Voice Message Transcription converting speech into something the AI can understand.

Someone sends a voice note, GHL figures out what was said, and the AI gets to work on the best way to respond, all before most people would finish reading a text message.

Turn on Respond to Audio, and GHL can start handling voice notes much like regular messages, keeping conversations moving without extra effort from your team.

Here’s what actually happens behind the scenes:

• The lead sends a voice message.
• GHL runs Voice Message Transcription on the audio.
• The speech is converted into text.
• Conversations AI analyzes the meaning.
• Your workflow, bot logic, or triggers activate.

Not every voice message came through perfectly. Background noise, regional accents, and everyday speech could sometimes make things tricky.

Now, the upgraded Voice Message Transcription engine handles:

• Natural speech patterns
• Accent variations
• Pronunciation differences
• Lower-quality recordings
• Conversational phrasing

That means the AI understands what the lead actually meant, not just what it thinks it heard. And when intent is clearer, automation works better.

This isn’t a cosmetic tweak. GHL upgraded the speech recognition engine powering Voice Message Transcription inside Conversations AI. That means the system doesn’t just “hear” better. It understands better.

Here’s what changed.

Higher Transcription Accuracy

The upgraded Voice Message Transcription engine now captures natural speech more accurately. People don’t speak in perfect sentences. They pause. They ramble. They change direction mid-thought. The AI now handles that better.

Instead of misreading casual phrasing, it interprets full conversational context. That leads to smarter automated responses and fewer awkward replies.

Better Accent and Pronunciation Handling

This is a big one for agencies. Different accents, regional dialects, and pronunciation variations used to reduce reliability. Now, Voice Message Transcription performs much better across diverse speech patterns.

If you serve multicultural markets, this upgrade matters.

Improved Noisy Audio Processing

Let’s be honest. Leads don’t record voice notes in quiet studios. They’re in cars. On job sites. At the gym. In busy offices.

The improved engine handles background noise and lower-quality recordings more effectively. That means fewer transcription failures and fewer broken automations.

Expanded Language Support

New languages are now supported, including:

• Arabic
• Bengali
• Gujarati
• Hebrew
• Persian (Farsi)
• Tamil
• Telugu
• Urdu
• And more

This update adds more languages without taking anything away from the ones users already depend on.

This dramatically expands global automation potential.

More Reliable Audio Processing

The system now includes:

• Better recovery from processing failures
• Improved handling of edge cases
• Reduced transcription interruptions
• More consistent voice-to-text performance

Translation? Fewer dropped messages. More consistent automation. Stronger user experience. And remember.

If Respond to Audio is enabled in your Bot Settings, this upgrade is already active.

No extra setup. No configuration change. Just smarter Voice Message Transcription running behind the scenes.

Voice messages are increasing. People don’t want to type long explanations anymore. They press record and talk. It’s faster. It’s easier. It feels more natural.

If your automation can’t understand that properly, you lose momentum.

That’s why this Voice Message Transcription upgrade matters.

Better Lead Qualification

When transcription accuracy improves, intent detection improves.

If a lead says: “I’d love to get started. What are your prices looking like?”

The AI now understands both booking intent and pricing hesitation.

That means you can:

• Trigger the correct workflow
• Send pricing info
• Offer a booking link
• Tag the contact properly

Instead of guessing.

Fewer Misunderstandings

Bad transcription leads to awkward replies. Awkward replies kill trust.

The upgraded Voice Message Transcription reduces those misfires. That means your automation sounds more human and more confident.

Higher Booking Conversions

Clear intent = correct response.

Correct response = faster decision.

Faster decision = more booked calls.

For agencies managing multiple client accounts, even a small lift in booking rates across 10–20 sub-accounts adds up fast.

Stronger WhatsApp and SMS Automation

Voice notes are extremely common on WhatsApp.

This upgrade makes Conversations AI much more reliable in handling those messages automatically. Less manual takeover. Less team involvement.

More automation. Less babysitting.

Better Global Scaling

With expanded language support, agencies can now deploy Voice Message Transcription across more markets without worrying about recognition issues.

That’s huge for:

• Multi-location businesses
• International service providers
• Agencies serving diverse communities

Smarter AI = stronger results.

And this upgrade makes that foundation stronger.

Voice Message Transcription works through the Respond to Audio setting in Conversations AI. Before using this enhanced transcription capability, you should confirm that Respond to Audio is enabled in your Bot Settings.

In the steps below, you’ll learn where to find this setting, how to verify that it is active, and how to test voice message processing inside your sub-account. If Respond to Audio is already enabled, the improved transcription experience is already available in your account.

• Access the Conversation AI Settings in GoHighLevel.
• Review Your AI Bot Settings.
• Test Voice Message Transcription.

Make sure to Log in to your GoHighLevel sub-account.

• Navigate to the Conversation AI area where you can manage your AI Bot settings and review how Conversations AI handles customer interactions.

1.1 Go to the left-hand sidebar and click “AI Agents.”

• This section contains all AI-powered tools available within your GoHighLevel sub-account.

1.2 Click “Conversation AI.”

• You’ll now access the Conversation AI dashboard where you can manage your AI assistant and conversation settings.

1.3 Click “Bot Settings.”

• This area contains your AI Bot configuration, including response behavior, instructions, and other bot-related settings.

You are now inside the Bot Settings area where you can review your current AI Bot configuration.

• Review the available response styles to understand how your AI Bot communicates with customers during conversations.

2.1 Under Response Settings, choose the response style that best matches your communication preferences:

• Concise – Short, direct replies.
• Balanced – A mix of detail and brevity.
• Detailed – More comprehensive responses with additional context.

These settings affect how your AI responds to customers but do not impact the Voice Message Transcription upgrade itself.

• Send a test voice note to see how the updated transcription engine processes audio messages and supports Conversations AI.

3.1 Open the “Conversations” tab.

• This is where you can view incoming messages, AI responses, and customer interactions across supported channels.

3.2 Send a test voice message from your phone to your connected SMS or WhatsApp channel.

• Use a natural voice message similar to what a customer would send when asking a question, requesting information, or booking an appointment.

You should see:

• The audio converted into text
• The AI analyze the intent
• An automated response generated
• Any related workflow triggers activate

If transcription appears accurate and automation fires correctly, your setup is complete.

This is where Voice Message Transcription becomes powerful. Audio comes in. Intent is detected. Automation moves instantly. No manual review needed.

Voice Message Transcription becomes powerful when you connect it to automation logic. On its own, it converts speech to text.

Tie it into your workflows, and suddenly those voice messages can kick off all kinds of actions behind the scenes.

Let’s walk through a real-world scenario.

Example 1 – Booking Intent Workflow

A lead sends a voice message: “Hey, I’m interested in your service. Can I book something for next week?”

Here’s what happens:

• Voice Message Transcription converts the audio into text
• Conversations AI detects booking intent
• A workflow triggers automatically
• The contact receives a booking link
• The opportunity moves to “Appointment Requested”
• A tag like “Voice Booking Lead” is applied

No manual typing. No team member reviewing audio. No delay.

The entire flow happens instantly.

Example 2 – Pricing Inquiry Automation

A prospect sends: “Can you tell me how much this costs before I book?”

With accurate Voice Message Transcription:

• The AI detects pricing intent
• A pricing response template is triggered
• The system offers both pricing details and a booking link
• The contact is tagged as “Pricing Inquiry”
• Follow-up reminders are scheduled automatically

That’s smart automation.

Example 3 – Multi-Language Lead Handling

A WhatsApp lead sends a voice note in Spanish or Arabic.

Because of expanded language support:

• Voice Message Transcription converts the audio correctly
• Intent is detected in the correct language
• The AI responds appropriately
• Workflows trigger normally

No manual translation needed.

Example 4 – Service Business Qualification

A roofing company receives: “I’ve got a leak in my garage roof. Do you service my area?”

The system can:

• Detect emergency/service request
• Ask qualifying follow-up questions
• Notify a sales rep
• Move the opportunity to “Hot Lead”
• Send an automated scheduling link

That’s where this upgrade shines. Voice Message Transcription reduces friction in the first contact moment.

And that first moment determines conversion. When voice is understood correctly, automation works correctly.

Most of the benefits don’t come from the transcription itself—they come from what your workflows do with that information afterward.

Here’s how to get the most out of it.

Use Clear Intent-Based Workflows

Don’t rely on one generic “Customer Replied” trigger.

Instead:

• Build workflows based on detected keywords
• Separate booking intent from pricing intent
• Create different paths for support vs sales

The more specific your automation branches are, the more powerful Voice Message Transcription becomes.

Pair With Smart Tagging

Every voice interaction should tell you something.

Use automation to:

• Apply “Voice Lead” tags
• Tag based on intent
• Track high-priority inquiries
• Separate new inquiries from existing customers

This gives your sales team clarity instantly.

Test With Different Accents and Environments

Don’t assume it works perfectly in every scenario without testing.

Send:

• Clear voice notes
• Fast-speaking voice notes
• Accented speech
• Background noise samples

See how the transcription performs inside your sub-account. Adjust bot prompts if needed.

Keep Bot Prompts Simple

Complex bot prompts can confuse automation flow.

Keep your AI instructions:

• Clear
• Direct
• Outcome-focused

Let Voice Message Transcription handle understanding. Your job is to structure smart responses.

Monitor Conversations Regularly

Check the Conversations tab weekly.

Look for:

• Misinterpreted phrases
• Failed responses
• Workflow misfires

Fine-tune where needed.

Combine With Opportunity Movement

Don’t just reply. Move pipeline stages automatically when booking or sales intent is detected. This creates a clean CRM flow without manual updates.

Voice Message Transcription gives you better input. Your workflows determine the output. Build them smart.

Let’s keep this simple. Better input creates better output.

When Voice Message Transcription improves, your entire automation system becomes more reliable. And reliability is what turns automation into revenue.

Faster First Response Time

When a lead sends a voice note, they expect a fast reply.

With stronger Voice Message Transcription, GHL understands the message correctly the first time. That means your AI can respond instantly without waiting for manual review.

Speed builds trust. Trust builds bookings.

Higher Booking Conversion Rates

If your automation misunderstands intent, it sends the wrong message.

Wrong message = hesitation.

Correct message = action.

Small misunderstandings can slow down a conversation. Better transcription helps keep things on track.

That increases booking rates across all sub-accounts.

Lower Team Workload

Before, voice messages sometimes required manual listening.

Now? More conversations can stay fully automated.

That means:

• Fewer support tickets
• Less time reviewing audio
• Fewer manual replies
• Cleaner CRM updates

Your team focuses on closing, not correcting.

Stronger International Expansion

With expanded language support, Voice Message Transcription allows you to serve more markets confidently.

If your agency works with:

• Multilingual communities
• International service businesses
• Multi-location brands

This upgrade strengthens your automation foundation across regions.

More Predictable Automation Performance

Automation only works if input is accurate.

Voice Message Transcription is now more stable, more consistent, and more resilient to edge cases.

Fewer broken workflows. Fewer missed triggers. More predictable outcomes.

And predictable outcomes are what allow agencies to scale confidently.

Smarter Conversations. Stronger Automation. Better Conversions. That’s the real business impact.

To see why this matters, imagine this situation.

Scenario: Dental Clinic Using GHL

A new lead finds the clinic online and sends a WhatsApp voice message: “Hi, I’m looking to book a teeth cleaning sometime this week. Do you have availability?”

Here’s what happens inside GHL.

Step 1 – Audio Received
The lead sends the voice note through WhatsApp.

Step 2 – Voice Message Transcription Activates
GHL converts the speech into text using the upgraded Voice Message Transcription engine.

The system now clearly understands:

• Booking intent
• Service type (teeth cleaning)
• Time sensitivity (this week)

Step 3 – Intent Detection
Conversations AI detects strong appointment intent.

Step 4 – Automation Fires

A workflow triggers automatically:

• Tag applied: “Dental Booking Lead”
• Opportunity created in pipeline
• Stage set to “Appointment Requested”
• Booking link sent instantly
• SMS confirmation sent after link click
• Internal notification sent to front desk

No one had to listen to the audio. No one had to manually type a reply.

Step 5 – Lead Books Appointment

The customer clicks the booking link. Selects a time. Confirms.

Pipeline updates automatically to “Booked.” That entire journey started with a voice note.

Now imagine scaling that across:

• 10 dental clinics
• 20 HVAC contractors
• 15 real estate teams

Voice Message Transcription ensures the first step, understanding the lead, is accurate.

It all starts with understanding the message correctly.

This is where automation stops being “cool” and starts being profitable.

Voice messages aren’t slowing down. They’re increasing.

And if your automation can’t understand them clearly, you’re leaving money on the table.

This Voice Message Transcription upgrade inside GHL strengthens the foundation of Conversations AI. Better accuracy. Better accent handling. Better noise tolerance. Expanded language support. More reliable processing.

All without extra setup. If Respond to Audio is enabled, you’re already running on the improved engine.

That means:

• Cleaner automation
• More accurate intent detection
• Faster booking responses
• Lower manual workload
• Stronger multilingual support

For agencies, this is a quiet but powerful upgrade.

You may not “see” it in the interface.

But you’ll see it in smoother conversations. You’ll see it in fewer automation errors. You’ll see it in higher booking consistency.

And that’s what matters. The team here at GHL Growth Garage loves upgrades like this. They don’t add complexity. They remove friction.

If you haven’t enabled Respond to Audio yet, go turn it on and test it today.

Smarter Voice Message Transcription. Stronger automation. Better results.

Have you tested this upgrade yet? Send yourself a voice note and see how it performs inside your workflows.

Then let us know how it’s working for you.