Symbl is an AI-powered, API first, Conversation Intelligence platform that analyzes conversation data and lets you:
- Generate Conversation Intelligence like Sentiment Analysis, Action Items, Topics, Trackers, Summary and much more in your applications.
- Generate Speech-to-text capabilities like Transcription, Speaker Separation and Speaker Diarization.
- Works with multi-channel data: Video, Audio, Text and Streaming.
Symbl ingests conversation data from different sources: text, audio and video and processes them in real-time as well as asynchronously with Symbl's APIs.
You can send your conversation data to Symbl in real-time via Streaming APIs or Telephony APIs or after the conversation has ended via Async APIs.
Once the conversation is ingested by Symbl, you can use the Conversation APIs to get Conversation Intelligence such as Speech-to-Text (Transcript), Action Items, Topics, Action Items, and also generate a Customizable Pre-built UI.
Symbl provides access to a searchable transcript with timecodes and speaker information. The transcript is a refined output of the speech-to-text conversion.
The transcript is one of the easiest ways to navigate through the entire conversation. It can be sorted using speaker-specific or topic-specific filters. Additionally, each insight or action item can also lead to related parts of the transcript.
Transcripts can be generated in real-time for voice and video conversations or using a recorded file. They can also be accessed through the post-conversation summary UI. The post-conversation summary page enables editing, copying and sharing of transcripts from the conversation.
Topics provide a quick overview of the key things that were talked about in the conversation. They are not detected based on the frequency of their occurrences in the conversation, they are instead detected contextually, and each Topic is an indication of one or more important topics of discussion in the conversation.
Each Topic has a score that indicates the importance of that topic in the context of the entire meeting. It is not that rare that even less frequently mentioned things are of higher importance in the conversation, and this will be reflected in a higher score for those topics, even if other Topics have a high number of mentions in the overall conversation.
Sentiment Analysis is the interpretation of the general thought, feeling, or sense of an object or a situation.
Symbl's Sentiment API works over Speech-to-Text sentences and Topics (or aspect). With Symbl's Sentiment Analysis feature, you can get the intensity of the sentiment and suggested sentiment type as negative, neutral or positive.
An action item is a specific outcome recognized in the conversation that requires one or more people in the conversation to take a specific action showing a clear commitment.
“This was a great conversation, I will summarize this meeting and send a follow-up to all the stakeholders”
The Comprehensive Action Items API is similar to the Action Items API except that the Comprehensive Action Items API returns a rephrased form of the original action item message that's enriched with its corresponding context.
While both are equally powerful in providing Action Items that relate to a discussion, the Comprehensive Action Items API is designed to provide more details such as references to speaker names, context in which the action item was mentioned and an overall comprehensive description of the action items.
Symbl can recognize if an action item has a connotation, which requires following up in general or by someone in particular - which usually includes setting up a calendar invite. Follow-ups have details of assignee, datetime ranges entities and is regenerated with speaker context with reference to the transcription or message. The Summary UI comes with an out-of-the-box calendar integration for this follow-up insight type.
“John, let’s set a time to discuss the board updates tomorrow evening”
Any explicit question or request for information that comes up during the conversation, whether answered or not, is recognized as a question.
“What features are most relevant for our use case?” “How are we planning to design the systems?”
When it comes to detecting specific or “contextually similar” occurrences of a particular context in any conversation, the most commonly faced challenge is when the speakers talk about the context in general but do not speak the exact phrases. The Trackers API will however detect both exact and similar phrases.
For example “I don’t have any money” is contextually similar to “I ran out of budget” as both represent similar inherent meaning.
However, after listening/hearing the conversation, it is understood that it indeed has the context that was meant to be detected.
The Trackers solve the above problem by providing the API with the capability to “track” the exact or “contextually similar” occurrences in a conversation.
Conversation Analytics are the important parts of the conversation that enables users to get to the right places in the transcription or trigger actions based on the aspects of the insight items. Today insights are categorized as question, action item and follow-up.
Some of the other characteristics of insights include:
Recognition of the assignee and speaker
Recognition of the datetime specified
Use of the speaker context to enhance the quality of the insights
Ability to accept the timezone to calculate the accurate date and time references
Ability to control the confidence threshold for the insights
Built-in punctuation and sentence boundary detection.
Symbl's Conversational Intelligence distills important conversation messages and creates succinct Summaries.
Summaries helps you save time required to grasp the contents of a conversation. Using Summary API, you can create Summaries in real-time or after the conversation has ended. You can also create Summaries for chat or email messages.
In any conversation, there can be multiple related topics that get discussed and it is possible to organize them in a hierarchy for better insights and consumption. Symbl's Topic Hierarchy algorithm finds a pattern in the conversation and creates parent (global) topics with each parent topic having multiple child topics nested within it.
A word or phrase that provides information necessary to fulfill a particular intent. Each entity belongs to a category specified by the entity's associated type. The platform generates entities related to the insight types for datetime and person.
At the end of each conversation, a summary of the conversation is generated and the page URL is shared via email to all (or selected) participants. This URL is auto-generated as part of the SDK and Real-Time APIs.
The Summary page UI includes the following components:
Title and details of the conversation including date, number of participants, etc.
Names of all the participants
Topics covered in the conversation in the order of importance
Full, searchable transcript of the conversation. Transcripts can be edited, copied and shared.
Any Insights, action items or questions from the transcript. Insights can also be edited, shared or dismissed, date/assignee for action item to be modified.
Calendar integration to set a follow-up meeting with Outlook, iCal and Google.
Email Integration to share the link of the page with other meeting participants. The email is auto-populated and can be customized on request.
The post conversation summary page is also fully customizable, as per the use case or product requirement. This customization is on request only, please connect with to enable this for your account.
Trackers and Analytics UI that provides details on the Trackers you have defined for the conversation.