'transcript' 검색 결과

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create a verbatim transcript for a YouTube URL using Google Gemini (speaker labels, paragraph breaks; no time codes). Use when the user asks to transcribe a YouTube video or wants a clean transcript (no timestamps).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

메모나 녹취록을 독자가 이해하기 쉬운 순서의 글로 구성합니다. 대화로 도입부와 문단의 역할을 확인하고, 합의한 내용을 별도 파일에 저장합니다.

• 흩어진 메모를 글로 구성
• 녹취록을 바탕으로 글 작성
• 집필 전에 도입부의 관점 비교

메모, 녹취록, 조사 자료로 블로그 글, 가이드, 뉴스레터 등 긴 글을 작성합니다. 기존 문체와 브랜드 방침에 맞춰 구성을 잡고 제공된 근거로 주장을 뒷받침합니다.

• 메모나 녹취록을 기사로 정리
• 브랜드 문체에 맞춘 글 작성
• 실용적인 가이드와 튜토리얼 집필

외울 사실을 질문과 답변 카드로 만들고 응답에 따라 복습 간격을 정합니다. YouTube 영상 퀴즈, 분야별 모음 관리, CSV 가져오기와 내보내기를 지원하며 카드는 로컬에 저장합니다.

• 외울 사실을 질문과 답변 카드로 저장
• 복습 날짜가 된 카드로 학습
• YouTube 영상의 이해도 확인

YouTube 자막을 가져와 요약, 시간 표시가 있는 목차, X 연속 게시물, 블로그 글로 정리합니다. 장별 요약과 시간 표시가 있는 인용문도 만듭니다.

• 긴 영상의 핵심 내용 파악
• 시간 표시가 있는 목차와 장별 요약 작성
• 영상을 X 연속 게시물이나 블로그 글로 정리

Turn chat transcripts or screenshots into animated message overlays. Configure app-style containers, avatars, nicknames, and device frames, then prepare transparent videos or editable project files for short clips, demonstrations, and story reenactments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Animated chat scenes for short videos
• Message overlays for product demonstrations
• Chat-based story reenactments

Turn agent activity and transcript token counts into a cost report organized around completed outcomes. Separate estimates from measured spending, examine waste and rework, and export readable HTML with supporting JSON, CSV, and evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing weekly agent spending and completed work
• Comparing costs per completed outcome
• Investigating the cost of loops and rework

Convert articles, reports, or documentation into an English or Chinese podcast with two conversational hosts. Create a dialogue script, generate speech, and combine it into an MP3 with a readable transcript.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning an article into a conversational podcast
• Adapting a report for listening
• Explaining technical documentation through dialogue

Search local session histories across Codex, Claude Code, OpenCode, and other coding agents. Find earlier requests, inspect transcripts and child sessions, and reconstruct past work using recorded evidence, with filters for dates, projects, platforms, and models.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding work done a few days ago
• Checking whether a migration was already completed
• Reviewing tasks delegated to child agents

Recover context from local coding-agent transcripts and produce a checkpoint covering the objective, completed work, blockers, and next step. Explicit import requests support read-only recovery, with continuation governed by the current workspace rules and the user's request.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recover context using a session ID
• Summarize unfinished work from local logs
• Review JSONL exports or Markdown handoffs

Add synchronized subtitles and text effects to an existing single-speaker video. Choose from 35 visual styles, including readable lower captions and words placed behind the person, with local transcription, subject cutout, previews, and final video compositing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add readable subtitles to an explainer video
• Place an emphasized word behind the speaker
• Create themed caption effects for social videos

Turn interviews, surveys, support conversations, and public reviews into evidence-based customer insights. Identify recurring problems, buying triggers, and customer language, then build research reports, quote collections, or personas and plan interviews or surveys to fill gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze customer interview transcripts
• Find recurring themes in reviews and support tickets
• Build customer personas from research evidence

Predict spatial gene expression from H&E-stained tissue images using DeepSpot-M. Query a released panel of about 19,000 genes and combine predictions from small image tiles into slide-wide maps for research analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Mapping predicted marker-gene expression across a tumor section
• Predicting expression across slides without matching gene-expression assays
• Adding predicted expression to a histology image analysis pipeline

Build real-time voice applications in Python with Azure AI Voice Live. Covers two-way audio streaming, transcripts, conversation history, and handling interruptions, with examples for authentication and configuring when the assistant responds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a voice assistant in Python
• Display transcripts during voice conversations
• Stop an audio response when the user interrupts

Build real-time voice assistants in JavaScript or TypeScript using Azure AI Voice Live. Covers two-way audio streaming, authentication, speech turn detection, transcription events, and calling application functions during conversations in Node.js or browsers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a voice assistant in Node.js
• Stream microphone audio from a browser
• Configure speech boundaries and transcription events

Build Java applications that exchange live audio with AI assistants using Azure AI VoiceLive. The skill covers authentication, streaming sessions, speech detection, voice selection, transcription, and handling responses over WebSocket, a persistent two-way connection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing a real-time voice assistant in Java
• Configuring speech detection and interruptions
• Adding transcription and noise reduction

Helps build Python workflows that extract information from documents, images, audio, and video using Azure AI Content Understanding. Covers document text, timed transcripts, video frames, and invoice fields for search and automated processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing document content for AI search
• Transcribing audio with timestamps
• Extracting transcripts and key frames from video

Build AI agents that make phone calls and send or receive SMS through the AgentPhone API. Manage phone numbers, configure voice agents and event notifications, and inspect call transcripts and account usage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create an AI voice agent with a phone number
• Send and receive SMS through AgentPhone
• Review call transcripts and account usage

Analyze Claude Code session transcripts and create an interactive HTML usage report. Explore token consumption, cache performance, subagents, skills, and costly prompts, with findings and improvement suggestions tied to the actual usage data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing token usage over a chosen period
• Comparing consumption across projects and skills
• Investigating cache performance and breaks

Build a connected Markdown Wiki from documents, notes, transcripts, research, and code. Organize knowledge by subject, attach evidence to claims, maintain a navigation index, and integrate new material into existing pages while preserving disagreements and context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize scattered documents and notes into a knowledge Wiki
• Add new evidence to an existing Wiki
• Document concepts and relationships found in code

Manually sync OpenClaw chat transcripts to OpenViking and search stored memories using explicit commands. Receive a sync summary or relevant memory entries while leaving the OpenClaw contextEngine slot available for its existing use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Manually sync recorded chat transcripts
• Find stored memories about a specific topic
• Check the summary of a manual sync

Turn internal meeting transcripts or notes into concise minutes that emphasize decisions and next steps. Record attendees, decision reasons, assigned actions with deadlines, unresolved issues, and references in a consistent format for team follow-up.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating minutes from a weekly meeting transcript
• Organizing notes from a design review
• Recording action owners and deadlines

Manage Google Meet meeting spaces and conference records through the gws command. Create or update spaces, end active conferences, and work with meeting records and related participants, recordings, smart notes, and transcripts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating or updating a Meet meeting space
• Finding conference records from past meetings
• Working with participant, recording, and transcript information