Whisper transcription. load_model ("turbo") result = model.

Whisper transcription. Transkribieren Sie Audio oder Video in wenigen Minuten.

Whisper transcription This application provides a beautiful, native-looking interface for transcribing audio in real-time with support for multiple languages. , txt, srt, json). mp3") print Feb 15, 2024 · 本文分享 OpenAI Whisper 模型的安裝教學，語音轉文字，自動完成會議記錄、影片字幕、與逐字稿生成。 談到「語音轉文字」，或許讓人覺得有點距離、不太容易想像能用在什麼地方? 事實上，商務人士或學生都有機會遇到「語音轉文字」的工作，而且一旦遇到，大機率是個冗長煩人的工作(例如整理 whisper_streaming是基于Whisper模型的实时语音转录和翻译系统。该项目采用本地协议和自适应延迟实现流式转录,在长篇未分段语音测试中实现高质量转录,延迟仅3. Dec 8, 2024 · Whisper by OpenAI is a cutting-edge, open-source speech recognition model designed to handle multilingual transcription and translation tasks. After transcriptions, we'll refine the output by adding punctuation, adjusting product terminology (e. Feb 27, 2025 · Hi everyone, I wanted to share with you a cost optimisation strategy I used recently when transcribing audio. In Oct 10, 2024 · The code is designed to make both these tasks simple, making use of OpenAI’s Whisper for transcription and some intelligent summarization techniques to present the content in a reader-friendly Using OpenAI's Whisper for Transcription, Translation, and Creating Caption Files OpenAI's Whisper is a general-purpose speech recognition model described in their 2022 paper . Like other OpenAI products, there is an API to get access to these speech recognition services, allowing developers and data scientists to integrate Whisper into their platforms and apps. WhisperTranscribe is a software that transcribes any audio or video in minutes. Supports multiple languages, batch processing, and output formats like JSON and SRT. 0. 3秒。系统提供多种后端选择,支持GPU加速,适用于多语言会议实时转录。项目还提供灵活API,便于开发者集成到不同应用场景。 MacWhisper 是一款AI音频转文字工具，基于 OpenAI 的 Whisper 技术，能在本地将音频文件快速转录成文本。支持多种语言，确保隐私安全。操作简单，支持导出字幕格式，适合会议、讲座记录。 一. This opens up command prompt, and we're currently in the same directory that all of our audio files are in. wav --language Japanese --task translate Run the following to view all available options: whisper --help See tokenizer. Whisper, optimized for processing 30-second audio chunks, excels in handling short utterances commonly found in academic datasets. You can find it in the transcription-api folder. For example, Whisper. Distil-Whisper transcription is almost good. Convert audio to text locally on your device for memos, meetings, interviews, and lectures without sending data to the cloud. g. Accuracy in Transformer-based outputs is typically proportional to the presence of relevant Nov 14, 2022 · Another area where we found Whisper was falling short was in the transcription of low-resource languages. The speaker introduces Whisper, a machine learning model for speech recognition and transcription created by OpenAI, the same organization behind ChatGPT. It supports multiple languages, formats, and features, and offers in-app purchases for Pro features. Para esto, hacen falta unos conocimientos un poco avanzados, y Transcription differences from openai's whisper: Transcription without timestamps. 1 day ago · This API route efficiently handles audio file uploads and utilizes OpenAI's Whisper model for transcription, returning the results to the frontend. For this example, we will be using the base model, which is as simple as one line of code:. Whisper does not have a web version like ChatGPT. This option allows you to utilize Whisper as: A command-line tool for quick and straightforward transcription tasks. Pyannote segments the audio, assigning a speaker identifier to each time interval. TensorRT backend. Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. It offers a user-friendly interface for uploading audio, processing it, and obtaining transcriptions quickly and efficiently. The prompt is intended to help stitch together multiple audio segments. In Audacity import the label file that corresponds to your audio file. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language. Download audio files for transcription and translation. Afinal, o que é o Whisper? Segundo o GPT-4: “Whisper é um sistema de reconhecimento de fala automático (ASR) baseado em inteligência artificial que foi treinado e é disponibilizado pela OpenAI1. Using the default settings below, it will download the Whisper large-v2 model so it may take a couple minutes to download the 2. ipynb Dec 22, 2024 · Designed to provide highly accurate transcription, translation, and multilingual speech recognition from the start, Whisper was a strong tool for developers working with speech-related applications. transcribe ("audio. We'll streamline your audio data via trimming and segmentation, enhancing Whisper's transcription quality. load_model("base") 4 Mar 4, 2025 · While Whisper AI is primarily designed for batch processing, it can be configured for real-time speech-to-text transcription on Linux. As an open-source neural network, Whisper has been trained on a vast corpus of multilingual and multitask supervised data collected from the web. what is whisper ? Whisper 是由 OpenAI 开发的一款通用的语音识别模型，它能够将语音转换为文本. Som for enhver tjeneste benyttet af forskere på AU, hvortil der overføres data, skal den ansvarlige forsker sikre sig, at retningslinjer er overholdt, og behandlingsgrundlag er sikret. The first model is called OpenAI Whisper, which is a speech recognition model that can transcribe speech with high accuracy. My goal is to replace the current transcription Transcription-API: This is the API that enables running Faster-Whisper. Sep 15, 2024 · Transcription: Get accurate verbatim transcriptions including fillers; Video Generation: View the transcription with timestamps alongside a video with a black background. Laden Sie WhisperTranscribe herunter und schließen Sie sich über 12k+ Nutzern an. exe. How to access Whisper API? GIF by Author . Audio File Format Support: Broaden the range of supported audio formats. Use the python script srt-2-audacity to convert the SRT files to Audacity labels. Whisper is an advanced automatic speech recognition (ASR) system developed by OpenAI, capable of converting audio content into text transcripts with remarkable accuracy. This technology has revolutionized the way we process and analyze spoken language across various domains. Core Concepts of Whisper Oct 16, 2024 · The first time you run Whisper WebUI it will take a while to download the Whisper model used for transcription. OpenAI’s Whisper API is one of quite a few APIs for transcribing audio, alongside the Google Cloud Speech-to-Text API, Rep. - Alireza29675/whisper-live Whisper Transcription bruges til at lave transskribering af lyd- eller videooptagelse ved hjælp af den store Whisper sprogmodel fra OpenAI. To run Whisper, simply type in whisper, space, and then type in the Whisper Realtime Transcription GUI A modern, real-time speech recognition application built with OpenAI's Whisper and PySide6. Convert speech to text without internet using Whisper AI. ( 主要功能作用） Whisper 是一个端到端的深度学习模型，具有多语言和多任务的能力，可以用于多种语音处理任务，包括语音转文本（transcription）、语音翻译（translation）和说话人识别（speaker identification). Python usage. 2. Self-hosted deployment: Deploy the open-source Whisper library on your own hardware, such as Modal, to maintain control over your transcription processes. This guide covers a custom installation script, converting MP4 to MP3, and using Whisper’s Python API for accurate multilingual text generation. 8GB file. Language-Specific Models: Enhance accuracy for specific languages. Mar 28, 2023 · Transcrição de textos em Português com whisper (OpenAI) - Transcrição de textos em Português com whisper (OpenAI). 1 is based on Whisper. However, Nov 13, 2023 · Whisper es una IA de código abierto, y tiene una página en Github con instrucciones técnicas para cómo descargarla y ejecutarla. Apr 11, 2023 · Faut-il utiliser Whisper ? Oui mais… Whisper est un outil de transcription très efficace, d’ailleurs déjà utilisé par des journalistes, ou pour sous-titrer automatiquement des films et des séries. Whishper integrates LibreTranslate to provide automatic machine translation of transcriptions. You can either drag and drop audio files or… Jan 31, 2025 · I’m experimenting with the beta Realtime API in a purely speech-to-speech scenario. With its robust architecture, Whisper offers high Téléchargez WhisperTranscribe et rejoignez plus de 9 000 utilisateurs. In this paper, we build on top of Whisper and create Whisper-Streaming, an implementation of real-time speech transcription and translation of Whisper-like models. Jan 29, 2025 · Discover a fast Windows tool for audio transcription and translation using OpenAI's Whisper, optimized for GPU use. You can find it in backend folder. You can get started building with the Whisper API using our speech to text developer guide . This project provides both a Streamlit web application (whisper_webui. Whether you’re looking for Whisper AI transcription to transcribe audio to text or leverage its voice translator capabilities, the strategies outlined above will ensure top-tier Feb 29, 2024 · To address these challenges, we propose WhisperX, a system for efficient speech transcription of long-form audio with accurate word-level timestamps. The original model, however, is implemented in Python, whereas many developers like to work with more lightweight, efficient, and portable Jun 27, 2023 · OpenAI's audio transcription API has an optional parameter called prompt. MacWhisper is an easy-to-use app for Mac that gives you fast and accurate audio transcription powered by OpenAI’s state-of-the-art Whisper technology. Jan 30, 2025 · 1. I'm just going to show that it's happening in real time, I'm just going to record a few of Jan 25, 2025 · Many medical centers use an AI-powered tool called Whisper to transcribe patients’ interactions with their doctors. import whisper model = whisper. It consists of three additional stages to Whisper transcription: (i) pre-segmenting the input audio with an external Voice Activity Detection (VAD) model; (ii) cut and merging the resulting VAD segments into approximately 30 seconds input chunks Long-form transcription is basically transcribing audio files that are longer than whisper's input limit, which is 30 seconds. Assuming you are using these files (or a file with the same name): Open the Whisper_Tutorial in Colab. py for the list of all available languages. You can upload your own files, search podcasts, record in the app, and use AI to create custom content based on your prompts. OpenAI offers substantial customization opportunities since Whisper is primarily intended for further development of domain-specific applications. 80+ languages supported. 5 hours ago · Enter OpenAI's Whisper API – a game-changing tool that's revolutionizing audio transcription. Whisper is already a game-changing tool, but with proper optimization, you can unlock even greater potential. ; Enable the GPU (Runtime > Change runtime type > Hardware accelerator > GPU). Applikationen kan transskribere i realtid – nogle gange endda hurtigere alt efter hvilken CPU, man vælger at gøre brug af, forklarer Freya. This comprehensive guide will explore how to harness the full potential of the Whisper API using Node. I’m not very knowledgeable in speech recognition, but given how well this tool performs, and considering the fact that it’s free and open-source, I think it is fantastic. Feb 19, 2025 · Batch process: Whisper can output several file types (e. Before going further, you need a few steps to get access to Whisper API. Feb 10, 2025 · Whisper Transcription for Mac是一款专为Mac用户打造的智能音频转文字工具，它采用了OpenAI的尖端技术Whisper，能够高效地将音频内容转化为文本。 无论是会议记录、讲座内容，还是采访对话，用户只需简单地将音频文件拖放到软件中，即可获得高质量的转录文本。 Oct 1, 2024 · Accurate offline speech-to-text transcription with Whisper AI model. For context I have voice recordings of online meetings and I need to generate personalised material from said records. API Integration: Develop APIs for cloud-based transcription services. It was trained with more than 680,000 hours of different audio in different languages and simply goes through a En este artículo, te presentamos a Whisper de OpenAI, una solución de inteligencia artificial diseñada para trascribir audio a texto con una eficacia sorprendente. This can be useful if you want to chat with a youtube video or podcast etc. But researchers have found that it sometimes invents text, a phenomenon known Aug 11, 2023 · This notebook offers a guide to improve the Whisper's transcriptions. 5 hours ago · Enter OpenAI's Whisper, a revolutionary tool that's reshaping how we approach transcription and translation. Matching Transcription Segments to Speakers. okay so this is just some audio that's Running whisper transcription Successful run. js, providing developers with the insights and techniques needed to integrate cutting-edge audio transcription into their projects. Nov 2, 2024 · Whisper Transcription是免费的，可以使用Tiny和Base模型进行音频转录。它们快速且非常准确，但为了获得最佳效果，建议升级到专业版，使用Tiny（英语）、Medium和Large模型，以实现行业领先的转录质量。根据您的使用情况，您可能需要使用Large版本。 Feb 14, 2025 · Whisper generates a transcription divided into segments with associated timestamps. , 'five two nine' to '529'), and mitigating Unicode issues. Feb 16, 2023 · Whisper is a speech transcription system from the creators of ChatGPT. com | 海量精品Mac应用免费下载 Nov 2, 2022 · Image by the author, screenshot from the openai whisper repository. py) and a command-line interface (whisper_cli. To ensure optimal performance, especially when dealing with large audio files, consider implementing the following strategies: 1. Jan 29, 2025 · Speaker 1: Welcome to this brief guide on how to transcribe files with Whisper Transcription. 3 seconds latency on unsegmented long-form speech transcription test set, and we demonstrate its robustness and practical usability as a component in live transcription service at Dec 28, 2024 · Learn how to seamlessly install and configure OpenAI’s Whisper on Ubuntu for automatic audio transcription and translation. Sep 21, 2022 · Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. Whishper-Backend: This is the backend that coordinates frontend calls, database, and tasks. Using OpenAI Whisper for Audio Transcription. 1. Nov 13, 2024 · Whisper turbo sometimes tends to put the same sentences and hallucinations. To enable single pass batching, whisper inference is performed --without_timestamps True, this ensures 1 forward pass per sample in the batch. Whisper is an State-of-the-Art speech recognition system from OpenAI that has been trained on 680,000 hours of multilingual and multitask supervised data collected from the web. Steps to transcribe audio with Whisper: Install Whisper: Open a command prompt (Windows) or terminal (macOS/Linux) and install Whisper via Python: pip install openai-whisper Sep 21, 2024 · 本文简单介绍了whisper的用途、在windows系统下安装部署whisper的方法以及whisper的简单用法。关于whisper的使用部分仅介绍了命令行模式的使用方法，如果你会使用python，也可以使用以下代码来运行whisper。 Jan 29, 2025 · Speaker 2: This time we are going to talk about Whisper, an artificial intelligence model of the OpenAI team capable of transcribing any audio or video in any language and the best thing about this model is that it is totally free. Whisper is a robust ASR system developed by OpenAI that can transcribe audio files, including formats like MP3, WAV, and MP4. OpenAI's Whisper models have the potential to be used in a wide range of applications, from transcription services to voice assistants and more. What is Whisper? Whisper, developed by OpenAI, is a versatile ASR model trained for high-accuracy speech-to-text conversion. In this guide, we will go through the step-by-step process of installing, configuring, and running Whisper AI for live transcription on a Linux system. net is the same as the version of Whisper it is based on. For each segment produced by Whisper, the best corresponding segment is identified from Pyannote’s output. Whisper Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. mp3") print (result ["text"]) Internally, the transcribe() method reads the entire file and processes the audio with a sliding 30-second window, performing autoregressive sequence-to-sequence predictions on each window. It stands out due to its training on diverse accents and environments, available via the Transformers library for easy use. Accurate transcription for iOS and MacOS. I have fine-tuned a Hugging Face Whisper model using PEFT LoRA adapters and would like to integrate it into your notebook, specifically the Whisper Transcription + NeMo Diarization notebook. Are you tired of manually transcribing your videos, or worse, relying on YouTube and its terrible auto-captioning? These can be time-consuming, tedious, and prone to errors. com. Thats why I A scalable Python module for robust audio transcription using OpenAI's Whisper model. Jan 17, 2023 · whisper japanese. whisper是openai开源的语音识别模型，也是使用了Transformer架构。openai宣称whisper的语音识别能力已经到了人类的水平。接下来我们参考Github结合其他技术博客内容，实操下whisper的使用。本篇主要介绍了whisper的安装、调用、识别效果评估以及一点调用封装。 OpenAI API: Access Whisper’s capabilities through the OpenAI API. WhisperTranscribe is an app that turns your audio or video into transcripts, summaries, show notes, social media posts, blog posts and more. Whishper-Frontend: This is the frontend (web UI) of the application. Feb 10, 2025 · TL;DR: OpenAI Whisper speech-to-text model for transcription and translation. cpp 1. MacWhisper(Whisper Transcription)是一个专为Mac用户设计的音频文件转写文本的应用，采用OpenAI的尖端转录技术Whisper，无论是录制会议、讲座还是其他重要音频 - Digit77. 3 seconds latency on unsegmented long-form speech transcription test set, and we demonstrate its robustness and practical usability as a component in live transcription service at This project is a real-time transcription application that uses the OpenAI Whisper model to convert speech input into text output. This comprehensive guide will delve deep into the capabilities, implementation strategies, and real-world applications of Whisper, offering insights for both newcomers and seasoned AI practitioners. Jan 25, 2023 · I am exploring the possibility of using a local model for transcription with your diarization repository. It can be used to transcribe both live audio input from microphone and pre-recorded audio files. Custom parameters have been configured for optimal transcription results: Enhanced silence detection; Word-level timestamps; Hallucination prevention; Podcast download and processing support The version of Whisper. Whisper API is an Affordable, Easy-to-Use Audio Transcription API Powered by the OpenAI Whisper Model. You can find it in frontend whisper. Inside of it, you'll see whisper. You will need SRT files. Jan 29, 2025 · Within File Explorer, click into the address field right up here, and then type in cmd and press enter. cpp. OpenAI's Whisper represents a significant leap forward in ASR technology. Sign Up to try Whisper API Transcription for Free! Apr 12, 2024 · Successful run. Aug 11, 2023 · Learn how OpenAI's Whisper, a new AI-powered solution that converts audio to text, can help apps like Transcribe to provide more accurate and multilingual transcriptions. My goal is to use function calling to produce structured json outputs based on spoken user input. Why MLflow with Whisper? The backend uses Flask and the Whisper model for transcription. We show that Whisper-Streaming achieves high quality and 3. Whisper Transcription is a Mac app that uses state-of-the-art transcription technology to transcribe audio files into text. 0 and Whisper. Whisper Transcription is free and lets you transcribe audio with the Tiny and Base models. Faster-Whisper transcription is almost good, and calculation speed is the best. Il présente évidemment plusieurs avantages, et des inconvénients. Sep 10, 2024 · Whisper CLI has potential for future improvements: Real-Time Transcription: Implement live transcription for events and calls. Currently, we recommend to only use the docker setup Whisper Web UI is a tool that helps you transcribe voice recordings into text using the OpenAI Whisper transcription API. Record, upload files, or use URLs for transcription. Nov 21, 2023 · - Whisper Transcription er baseret på OpenAis Whisper sprogmodel og applikationen giver forskere mulighed for at uploade og transskribere enkelte filer samt hele mapper med video eller lydfiler. Translate Whishper allows you to translate your transcriptions to and from more than 60 languages thanks to Argos Translate and LibreTranslate. First, go and log in to the OpenAI API Thanks to faster-whisper, transcriptions are lightning fast. This large and diverse dataset leads to improved robustness to accents, background noise and technical language. 13 Whisper Transcription jobs available on Indeed. Transcrivez n'importe quel audio ou vidéo en quelques minutes. Apply to Transcriptionist, Quality Assurance Analyst, General Transcriptionst and more! Nov 8, 2024 · Others reported similarly high rates of errors in Whisper, with one machine-learning engineer reporting he found transcription errors in about half of its transcription of 100 hours of audio and another telling the AP errors were almost universal in an analysis of 26,000 Whisper transcripts. Obtenez un résumé, des notes de réunion et plus encore. Whisper-Streaming uses local agreement policy with self-adaptive latency to enable streaming transcription. Oct 28, 2024 · The transcription output from Whisper is a prediction of what is most likely, not what is most accurate. Get started with Whisper Desktop now. However, the patch version is not tied to Whisper. When we tried transcribing speech in Indian languages on real-world data from one of our Nov 24, 2024 · Long-Form Transcription in Whisper. Once a transcription is successful, you will see a “Translate” button, you can translate a transcription to any language that you loaded ins the LT_LOAD_ONLY environment variable. Whisper is noted for being free and capable of converting audio or video files to text in 99 different languages. Convert speech to text locally with our AI-powered iOS app. net 1. OpenAI has the Whisper project here on their GitHub as just plainly Whisper. Erhalten Sie eine Zusammenfassung, Besprechungsnotizen und mehr. 0 is based on Whisper. However, it only records relative timestamps. It offers custom prompts, content generation, subtitle translation and more features for podcasters, YouTubers, researchers and others. [1] This code uses two different open-source models to transcribe speech and perform forced alignment on the resulting transcription. Anyone can use it, and it’s completely free, but there’s one problem. By submitting the prior segment's transcript via the prompt, the Whisper model can use that context to better understand the speech and maintain a consistent writing style. They're fast and very accurate, but for the best results you should consider upgrading to Pro to use the Tiny (English), Medium and Large models, for industry leading transcription quality. Jan 29, 2025 · Wherever Python's installed, we'll navigate there, Python 399, and then the scripts folder here. Whisper 的 GUI 客户端在 Mac 上不少(Whisper Transcription、MacWhisper. . Ensure you have a BLAS package installed, and replace the standard cmake setup with: Ou era! Seus problemas acabaram, amigo jornalista! Com o Whisper você nunca mais vai passar horas decupando aquela maldita entrevista. Mar 31, 2024 · Abstract: Whisper is one of the recent state-of-the-art multilingual speech recognition and translation models, however, it is not designed for real-time transcription. Depending on your usecase you might want to use the Large version. WhisperX transcription is the best, and it records a very accurate timestamp. This notebook is a practical introduction on how to use Whisper in Google Colab. So that's perfect, and we're now ready to finally run Whisper. Whisper is an ASR model trained on diverse audio datasets to recognize and transcribe human speech. Transkribieren Sie Audio oder Video in wenigen Minuten. cpp supports POWER architectures and includes code which significantly speeds operation on Linux running on POWER9/10, making it capable of faster-than-realtime transcription on underclocked Raptor Talos II. Sign Up to try Whisper API Transcription for Free! Jul 1, 2024 · Whisper AI emerge como una solución destacada para la transcripción de voz a texto, ofreciendo una precisión, versatilidad y facilidad de uso sin precedentes. Nov 13, 2023 · For individuals with hearing impairments, Whisper can be used to develop applications that provide real-time transcription of spoken conversations, fostering inclusivity and accessibility. So how do we actually use Whisper? Well, it's really simple. Sep 21, 2022 · Whisper can handle transcription in multiple languages, and it can also translate those languages into English. However, this can cause discrepancies the default whisper output. ai’s voice transcription APIs, Amazon Transcribe, and Microsoft Azure Speech-to-Text. Optimizing Performance and Handling Large Audio Files. By leveraging our Jan 13, 2025 · Conclusion: Supercharging Your Whisper Experience. According to this API reference, transcription via Whisper is not native to the main speech-to-speech model; it’s an optional, asynchronous feature. model = whisper. Find out what Whisper can do, what data it was trained on, and how Transcribe is using it. Utilize MLflow's pyfunc for Whisper model serving and transcription tasks. load_model ("turbo") result = model. 5 hours ago · Understanding Whisper: OpenAI's Open-Source Audio Marvel. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. This is Whisper here, and this is exactly what we've installed. The model itself seems to handle the audio directly so i’m . py) for transcribing audio files using the Whisper Large v3 model via either the OpenAI or Groq API. Ya sea para fines personales, profesionales o de accesibilidad, Whisper AI permite a los usuarios liberar todo el potencial del lenguaje hablado en el ámbito digital. See a simple code example, tips for better transcriptions, and advanced features of Whisper. How? We employ the popular Dynamic Time Warping (DTW) on the Whisper cross-attention scores, as detailed in our paper to derive word-level timestamps. Introduction to Whisper Transcription. 7. So say goodbye to transcription headaches with Whisper Transcription for macOS. Transcription can also be performed within Python: import whisper model = whisper. Individual Files: OpenVINO Whisper Transcription plug-in Experience ML-powered speech recognition directly in your browser with Whisper Web. 5. )，Windows 上也有 Buzz ，然而要找到一个支持 GPU 加速的客户端依然十分困难。 且不论是云端转还是本地转，上述方案只是实现了音频转文字的过程，但却少了一个直观的用户界面，帮助我们快速通过文字 TypeScript-based library for real-time audio transcription, integrating OpenAI's Whisper model for accurate speech-to-text conversion. Mar 5, 2024 · Learn how to use OpenAI Whisper, an AI model that can transcribe speech to text in multiple languages and scenarios. For my usecase I actually dont need the transcription to be 1:1 as after I transcribe it I process and summarise it with gpt4o-mini and continue with it. Te explicamos qué es, cómo funciona y cómo puedes utilizarlo para tus propios proyectos, ya sea para transcribir simples notas de voz o para convertir largas grabaciones de conferencias en texto editable. yvf xtuo sixklv ukycbsve aipfs coak ukyg nys tydprnhh bskhg kdaxseq zgww muy uqbknl pgg