AI glossary for content assistants
Plain-English definitions of 13,917 AI terms for branded assistant teams.
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13,917 terms. Open one for definitions and related concepts.
AI Image Tagging
AI image tagging automatically assigns descriptive labels, keywords, and metadata to images, enabling efficient organization, search, and content moderation at scale.
Text-Guided Image Editing
Text-guided image editing uses natural language instructions to modify existing images, changing specific attributes, adding elements, or transforming content based on text prompts.
AI Microscopy
AI microscopy applies deep learning to automate image analysis of biological and material samples captured by optical, electron, and fluorescence microscopes.
Pathology AI
Pathology AI uses deep learning to analyze whole-slide digital pathology images for cancer detection, grading, biomarker quantification, and prognosis prediction.
Visual Dialog
Visual dialog AI engages in multi-turn conversations about image content, answering follow-up questions that require tracking conversation history and image context together.
3D Semantic Segmentation
3D semantic segmentation assigns semantic class labels (person, car, building) to every point in 3D point clouds or voxel grids, enabling spatial understanding of 3D scenes.
Retail Computer Vision
Retail computer vision applies AI image analysis to physical stores for shelf monitoring, checkout automation, customer behavior analytics, and loss prevention.
Video Emotion Recognition
Video emotion recognition analyzes facial expressions, body language, and vocal cues across video frames to identify emotional states, sentiment, and engagement levels.
Speech Recognition
Speech recognition is the AI technology that converts spoken language into text, enabling machines to understand and process human speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR) is the computational process of converting audio speech signals into text transcriptions using machine learning models.
ASR
ASR is the abbreviation for Automatic Speech Recognition, the technology that converts spoken audio into written text using AI models.
STT
STT stands for Speech-to-Text, the technology and services that convert spoken audio into written text transcriptions.
Speaker Recognition
Speaker recognition identifies or verifies a person's identity based on their voice characteristics, distinguishing who is speaking rather than what they are saying.
Speaker Diarization
Speaker diarization segments audio into speaker-homogeneous regions, determining who spoke when in a multi-speaker recording.
Voice Activity Detection
Voice Activity Detection (VAD) identifies segments of audio that contain human speech versus silence, noise, or music, serving as a preprocessing step for speech systems.
Real-time Transcription
Real-time transcription converts speech to text as it is spoken, producing live text output with minimal delay for applications like live captioning and voice assistants.
Keyword Spotting
Keyword spotting detects specific words or phrases in an audio stream without performing full speech recognition, used for triggers, commands, and monitoring.
Wake Word Detection
Wake word detection listens continuously for a specific trigger phrase like 'Hey Siri' or 'Alexa' to activate a voice assistant, running efficiently on-device.
Whisper
Whisper is OpenAI's open-source speech recognition model that supports 99 languages, automatic language detection, translation, and timestamp generation.
Deepgram
Deepgram is a speech AI platform providing fast, accurate speech-to-text, text-to-speech, and audio intelligence APIs optimized for real-time and enterprise applications.
AssemblyAI
AssemblyAI is a speech AI platform offering transcription, speaker diarization, content moderation, and audio intelligence through developer-friendly APIs.
Google Speech-to-Text
Google Speech-to-Text is Google Cloud's speech recognition service supporting 125+ languages with real-time streaming, batch processing, and custom model adaptation.
Wav2Vec 2.0
Wav2Vec 2.0 is a self-supervised speech representation model from Meta that learns from unlabeled audio, enabling speech recognition with very little labeled training data.
TTS
TTS stands for Text-to-Speech, the technology that converts written text into spoken audio using AI voice synthesis.
Speech Synthesis
Speech synthesis is the artificial production of human speech, encompassing TTS systems, voice generation, and the creation of spoken audio from various input formats.
Voice Cloning
Voice cloning creates a synthetic replica of a specific person's voice using AI, enabling generation of speech in that person's voice from any text input.
Voice Conversion
Voice conversion transforms the voice characteristics of spoken audio from one speaker to sound like another speaker while preserving the linguistic content.
Neural TTS
Neural TTS uses deep learning models to generate highly natural synthetic speech, replacing older concatenative and parametric approaches with end-to-end learned systems.
ElevenLabs
ElevenLabs is an AI voice technology company offering high-quality text-to-speech, voice cloning, and audio generation through APIs and consumer products.
Amazon Polly
Amazon Polly is AWS's text-to-speech service offering dozens of voices across 30+ languages with Neural TTS technology and SSML control for enterprise applications.
Bark
Bark is an open-source text-to-audio model from Suno that generates highly expressive speech with laughter, breathing, music, and sound effects alongside spoken words.
VALL-E
VALL-E is a neural codec language model from Microsoft that generates speech from text using just 3 seconds of reference audio for voice cloning.
XTTS
XTTS is an open-source multilingual text-to-speech model from Coqui AI that supports voice cloning and 17 languages with a single model.
Voice Assistant
A voice assistant is an AI system that understands spoken commands and responds with voice, combining speech recognition, language understanding, and text-to-speech.
Conversational IVR
Conversational IVR replaces traditional phone menu trees with natural language voice interaction, allowing callers to state their needs in natural speech.
Voice User Interface
A Voice User Interface (VUI) is a speech-based interface that allows users to interact with devices and applications through spoken commands and natural conversation.
Voice Commerce
Voice commerce enables purchasing products and services through voice-activated devices and assistants, allowing hands-free shopping and transactions.
Voice Analytics
Voice analytics uses AI to extract insights from voice conversations, analyzing speech patterns, sentiment, keywords, and conversational dynamics.
Call Transcription
Call transcription converts phone call audio into text transcripts, typically including speaker separation, timestamps, and additional analysis like sentiment and topics.
Call Summarization
Call summarization uses AI to generate concise summaries of phone conversations, capturing key topics, action items, decisions, and customer sentiment.
Sentiment from Voice
Sentiment from voice detects emotional states and attitudes directly from speech audio, analyzing tone, pitch, pace, and energy beyond just the words spoken.
Audio Classification
Audio classification identifies the type of sound in audio recordings, categorizing them as speech, music, noise, environmental sounds, or specific events.
Sound Event Detection
Sound event detection identifies and locates specific sounds within audio recordings over time, determining what sounds occurred and when they happened.
Noise Reduction
AI noise reduction removes unwanted background noise from audio recordings using deep learning, preserving speech clarity while eliminating distractions.
Audio Enhancement
Audio enhancement uses AI to improve overall audio quality by reducing noise, removing reverb, equalizing levels, and restoring clarity in degraded recordings.
Audio Fingerprinting
Audio fingerprinting creates a compact digital signature of an audio recording that can identify the content even from short, noisy clips.
Spectrogram
A spectrogram is a visual representation of audio showing how frequencies change over time, used as the primary input format for many speech and audio AI models.
Mel Spectrogram
A mel spectrogram is an audio representation that maps frequencies to the mel scale, matching human auditory perception, and serves as the standard input for speech AI models.
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What is InsertChat?
InsertChat is a white-label AI assistant for your website. Train it, brand it, publish it, and learn from visitor questions.
How does InsertChat use my website content?
Connect approved pages, docs, videos, FAQs, policies, and other sources. InsertChat turns them into source-backed answers and next steps.
Can I control the assistant's tone and sources?
Yes. Choose its sources, tone, welcome message, and prompts so it stays on brand.
How does InsertChat stay accurate?
Answers use approved content and source links. Analytics show unclear or missing answers so you can improve coverage.
Can it collect leads or route support questions?
Yes. InsertChat can collect details, qualify intent, add context, and send chats to the right inbox, CRM, workflow, or person.
Can I control how the assistant behaves?
Yes. Control prompts, model choice, tool access, and the branded assistant experience so behavior stays consistent.
Which AI models can I use?
InsertChat supports multiple model providers. Choose each assistant's model for quality, speed, and cost, or use BYOK.
Can I pick different models for different workflows?
Yes. Use a faster model for common questions and a stronger model for complex reasoning. InsertChat supports that balance per conversation.
Where can I deploy an assistant?
Use a widget, embed, full-page assistant, custom domain, in-app embed, or API. Reuse one setup across surfaces.
Do I need coding skills?
No. Build and deploy AI assistants using our visual builder. The embed code is one line of JavaScript.
Can I customize the branding and UI?
Yes. Customize the assistant name, logo, colors, welcome message, suggested prompts, tone, domain, and white-label presentation.
Can I use my own domain?
Yes. Custom domains are supported, typically via enterprise options.
Does InsertChat support voice?
Yes. Voice dictation and text-to-speech let users speak instead of type.
Does InsertChat support vision?
Yes. Enable vision for assistants when images help clarify a request or context.
What tools and integrations are supported?
Zendesk, HubSpot, Shopify, WooCommerce, calendar booking, web search, Perplexity, and webhooks for your own systems.
Can I control which tools the assistant is allowed to use?
Yes. Tool access is controlled per assistant so you enable only what you need.
Can the agent hand off to a human?
Yes. Configure human handoff so the agent escalates when needed. Full conversation history is passed along.
Do you provide analytics?
Yes. Track chats, leads, feedback, top questions, unanswered questions, most-used sources, and content gaps.
Is it mobile friendly?
Yes. The widget and embeds work well on desktop and mobile with no separate experience needed.
What's the fastest path to a successful deployment?
Start with one assistant and a small set of high-value sources. Iterate using real questions from analytics.
What is the fastest way to get started?
Create an account. Connect one key source. Ask a test question, brand the assistant, then publish it on one page.