Voice Transcript Automatically transcribes conversations into text and allows you to search for past call history.
Transform every contact center conversation into searchable and usable information with Voice Transcript , an automated conversation transcription system. This eliminates the need for your team to manually replay each recorded call to find information, verify details, or review conversations between customers and employees.
Voice Transcript stores conversations in text format, allowing for quick retrieval of keywords, topics, or past conversations. It also provides a foundation for further development with AI Summary, AI Wrap-up, Sentiment Analysis & AI QA, and AI Business Insights .
Voice Transcript
Automatically transcribes conversations into text and allows you to search for past call history.
Transform every contact center conversation into searchable and usable information with Voice Transcript , an automated conversation transcription system. This eliminates the need for your team to manually replay each recorded call to find information, verify details, or review conversations between customers and employees.
Voice transcripts store conversations in text format, allowing for faster searching of keywords, topics, or past conversations. They also provide foundational data that can be further developed into AI Summary, AI Wrap-up, Sentiment Analysis & AI QA, and AI Business Insights .
Voice Transcript
Transform conversational audio into searchable information.
Every day, contact centers handle a large number of conversations. While voice recording systems can capture the audio, when management needs to know “which customer mentioned this problem” or “what information an employee provided to a customer,” replaying each recorded call is time-consuming. Voice Transcript converts that audio into text, making it easier to search, verify, and retrieve information from conversations.
The process changesfrom:
Voice Recording → Replaying each call individually; to
:
Voice Recording → Voice Transcript → Search → Analyze → Take Action.
a voice transcript work?
1. Recording of conversations and audio data: When a conversation occurs between a customer and an agent, the system receives audio data from the recorded conversation.
2. Automatically transcribe the spoken text into text. AI speech-to-text processes audio and converts conversations into text format for easy reading and searching.
3. Separate conversations between customers and employees . Text can be structured to show whether each segment of the conversation is spoken by the customer or the employee, making it easier to review the conversation than reading the entire call continuously.
4. Store transcripts by major. Transcripts can be stored along with caller ID information such as date, time, employee name, or conversation references, helping to systematically search for past records.
5. Find and analyze the data further. Transcript data can be used to search for keywords, examine key points from conversations, or forwarded to other AI functions for further analysis and processing.
The main function of Voice Transcript
1. Automatically transcribe conversations into text. Converting audio conversations into text format reduces listening time during recording and makes the information easier to search and process.
2. Separating conversations between employees and customers provides a clear picture of the conversation structure and who is speaking at each stage. This allows supervisors or the QA team to review the conversations more quickly.
3. Search for past information from conversations. You can search for words, phrases, or important information from transcripts without needing to listen to every call. This is ideal for finding customer issues, complaints, or any information you need to review retrospectively.
4. Keyword and topic search: Help find conversations containing words or issues of interest, such as "cancel service," "expensive," "cannot subscribe," "refund," or "not working." This allows the team to find calls related to those issues more quickly.
5. Easier conversation review: Supervisors and QA can read transcripts to understand context before opting to re-listen to recorded conversations, focusing only on the required segments and reducing the time spent reviewing large numbers of calls.
6. Convert the transcript into data for AI. Voice transcripts serve as the foundation for other AI functions such as AI Summary, AI Wrap-up, Sentiment Analysis, AI QA, and Business Insights.
Voice Transcript How is it different from voice recording?
They both work together, but they have different purposes.
| Call Recording | Voice Transcript |
| Record actual conversation. | Convert voice conversation to text. |
| You need to listen to see the details. | You can read the information immediately. |
| It is difficult to find the content within the audio. | Keywords and topics can be searched. |
| Suitable for checking the original audio. | Suitable for search and analysis. |
| Take some time to listen again. | Information can be checked more quickly. |
Therefore, voice transcription does not replace voice recording, but it helps make recorded information easier to find and use.
Examples of how a voice transcript works.
| Use case | Usage |
| Customer Complaint | Instead of supervisors having to listen to dozens of recordings when customers call to complain about the service, they can now search for terms like “complaint,” “not working,” or “cancellation request” to quickly find relevant conversations. |
| Quality Assurance | The QA team needs to verify that the agent has provided all crucial information. They can read the transcript to identify calls requiring investigation and then listen to additional recordings only for the necessary sections. |
| Customer History | When customers contact back, agents or supervisors can more easily review details from previous conversations, allowing them to understand the customer’s context without having to listen to the entire original call again. |
| Product & Service Issue | If multiple customers mention the same problem, the transcript can be further analyzed to find patterns, such as usage issues, pricing questions, cost problems, service inquiries, or service cancellation requests. This data can then be used to generate business insights. |
How does it work in conjunction with other AI functions?
Voice Transcript → AI Summary:
AI summarizes the transcript into the main points of the conversation, eliminating the need for agents or supervisors to read the entire message.
Voice Transcript → AI Wrap-up:
Conversation data can be used to generate Call Reason, Outcome, Disposition, Next Action, and information for CRM recording.
Voice Transcript → Sentiment Analysis & AI QA:
AI analyzes the content and context of conversations to help assess customer emotions and service quality.
Voice Transcript → AI Business Insights:
Data from thousands of conversations can be analyzed to identify trends, pain points, the voice of the customer, and business insights.
The benefits of voice transcription for contact centers.
1. Reduce the time spent searching for the information you need. No need to re-listen to recordings one call at a time; simply search for the word or topic you need.
2. Improve the efficiency of Supervisors and QA teams , enabling faster review of conversations and allowing them to selectively listen to only necessary calls or time periods.
3. Systematically store conversation data , transforming hard-to-find audio information into usable text.
4. It helps agents understand customer history faster, allowing them to review previous conversation details without having to start searching for information all over again.
5. Leverage AI to further enhance data. Transcripts can be used for summaries, wrap-ups, sentiment analysis, QA, and business insights.
Voice Transcript What type of organization is this suitable for?
Voice transcripts are ideal for organizations with call centers or contact centers that handle a large number of customer conversations, especially those that need to review past data, analyze quality, or utilize voice data beyond simply storing it in a recording system.
- Customer Service
- Technical Support
- Sales
- Insurance
- Finance
- Healthcare
- Debt Collection
- Complaint Management
- Contact centers that require regular quality and compliance checks.
Change every conversation. To transform the information into something that can be searched, analyzed, and further used.
The benefits of voice transcription extend beyond simply converting voice to text. It transforms conversations previously stored in voice recordings into conversation data. This data can then be searched, analyzed, compared, and leveraged to improve employee efficiency, assist supervisors in monitoring service quality, and provide valuable insights for management.
No need to waste time listening back to every call anymore.
Transform voice recordings into searchable text with Voice Transcript, and leverage conversational data with AI to help your team review, analyze, and work faster.
Frequently Asked Questions about Cloud PBX
What is a voice transcript?
Voice Transcript is an AI-powered system that automatically transcribes conversations into text. Used by call centers and contact centers, it converts audio from voice recordings into text, allowing teams to read, search, and verify conversation details without having to replay each call individually.
How does a voice transcript differ from a call recording?
Call Recording is used to record and store the original conversation, while Voice Transcript converts the audio into a text format that is easier to read and search. Both systems can work together, with Recording used for verifying the original audio and Transcript ideal for searching and analyzing information from the conversation.
How can voice transcription automatically transcribe call center voices?
The system uses AI speech-to-text technology to process audio from recorded conversations and convert it into text. Transcripts can then be stored for each call, along with accompanying information such as date, time, employee, or conversation references, making it easier to retrieve past information.
Is it possible to separate the messages between the agent and the client?
Voice transcripts can structure conversations to separate messages between the agent and the client, helping supervisors or QA teams understand the sequence of conversation and easily verify what each party said, rather than reading the entire transcript consecutively.
Is it possible to search for words or topics from past conversations?
Yes, users can search for words, phrases, or key points from the transcript, such as “cancel,” “refund,” “not working,” or “expensive,” to quickly find related calls without having to listen to every recording.
How can voice transcripts help the QA team and supervisors?
The QA team and supervisors can read transcripts to select calls for review, understand the initial context, and re-listen to recordings of only the necessary calls or segments, significantly reducing the time spent reviewing large numbers of conversations.
Can voice transcripts be used to view a customer's conversation history?
Yes, when a customer contacts back, the agent or supervisor can review the transcript from previous conversations to understand the context, problem, or information previously provided without having to listen to the entire original recording again.
How can a voice transcript help analyze a customer's problems?
When conversations are converted into text, organizations can use transcripts from multiple lines to identify and analyze recurring issues such as usability problems, pricing questions, costs, or service cancellation requests. This information can then be used for Voice of Customer and Business Insight analysis.
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