pdf-to-podcast is an AI-powered productivity tool that transforms PDF documents into podcast episodes. It utilizes OpenAI's text-to-speech model and Google Gemini technology to process PDF content into natural dialogue suitable for audio podcasts, outputting as MP3 files. The primary advantage of this tool is its ability to convert static document content into dynamic audio content, allowing users to listen on mobile devices while also serving as a source of material for podcast episodes.

bleep_that_sht is an application written in Python that uses the Whisper transcription model to transcribe audio and then replace selected keywords, using corresponding timestamps with beeps. All processing is done locally, no data is uploaded, and user privacy is protected.

FoleyCrafter is a text-based video to audio generation framework capable of producing high-quality audio that is semantically relevant to the input video and time-synced. This technology holds significant importance in video production, especially during post-production, where it can greatly enhance efficiency and audio quality. It was jointly developed by the Shanghai Artificial Intelligence Laboratory and the Chinese University of Hong Kong, Shenzhen.

pdf-to-podcast is an AI-powered productivity tool that transforms PDF documents into podcast episodes. It utilizes OpenAI's text-to-speech model and Google Gemini technology to process PDF content into natural dialogue suitable for audio podcasts, outputting as MP3 files. The primary advantage of this tool is its ability to convert static document content into dynamic audio content, allowing users to listen on mobile devices while also serving as a source of material for podcast episodes.

Audio Isolation is an online audio processing service provided by ElevenLabs, dedicated to segregating vocals or background music from audio tracks. This technology is crucial for applications in music production and post-production video editing, significantly enhancing the efficiency and quality of audio editing. The service is provided via API, supports multiple programming languages, and offers high flexibility and ease of use. Pricing is based on the number of audio characters processed per minute, with specific costs not clearly indicated on the website.

bleep_that_sht is an application written in Python that uses the Whisper transcription model to transcribe audio and then replace selected keywords, using corresponding timestamps with beeps. All processing is done locally, no data is uploaded, and user privacy is protected.

FoleyCrafter is a text-based video to audio generation framework capable of producing high-quality audio that is semantically relevant to the input video and time-synced. This technology holds significant importance in video production, especially during post-production, where it can greatly enhance efficiency and audio quality. It was jointly developed by the Shanghai Artificial Intelligence Laboratory and the Chinese University of Hong Kong, Shenzhen.

Text to Sound Effects is ElevenLabs' latest AI audio model, capable of generating various sound effects, short music tracks, ambiences, and character voices based on text prompts. It represents a major innovation in the field of audio production, providing film and television studios, video game developers, and social media content creators with fast, economical, and scalable tools for generating rich and immersive audio environments. The product, through its collaboration with Shutterstock, leverages authorized tracks from its vast audio library, meticulously fine-tuned, to create a versatile new tool for modern creators.

AudioSep is an open-domain audio source separation model based on natural language queries. It consists of two key components: a text encoder and a separation model. We trained AudioSep on a large-scale multimodal dataset and extensively evaluated its capabilities on many tasks, including audio event separation, instrument separation, and voice enhancement. AudioSep demonstrates strong separation performance and impressive zero-shot generalization ability, significantly outperforming previous audio query and language query sound separation models when using audio titles or text labels as queries. To ensure the reproducibility of this work, we will release the source code, evaluation benchmark, and pre-trained models.

Streamlabs Podcast Editor is a fast, dynamic, and efficient tool to help you edit your podcasts and interview content. Edit your video to convert it into short, shareable video clips through text editing, perfect for boosting your social media presence. Podcast Editor offers quick, text-based podcast editing, the ability to add images and captions, customize video clips, and more. Record using Streamlabs Talk Studio and then edit and customize with Podcast Editor. Optimize and cross-platform share your content to grow your podcast's audience engagement and brand awareness.

TunziAI is an online AI toolbox offering practical features such as Acoustic Vocal Extraction, Instrument Separation, and无损Tune Up, to significantly increase work efficiency, based on cloud computing. It's easy to use, and requires no download or installation for on-the-go access. Through deep learning and big data training, TunziAI delivers excellent results. With reasonable pricing and pay-as-you-go options, it also offers open APIs for businesses and developers to seamlessly integrate.