Video2Post is a new app to convert any video or audio resource into a Wordpress post, html, pdf or word document!.
Videos and audio resources (like podcasts) are a great way to convey your message to the public, but for SEO, it's not good at all. Transcribing a video/audio is painful and time consuming task and if you don't do it you could loose public that wants to read your content. Plus, including parts or cuts of the media to be able to export it into another format or publish it in your website, could require specialized knowledge and software.
Video2Post is a new web & mobile app that solves all this problems:
-> Automatic audio to text transcribing using Google best's Speech-To-Text technology -> You can select part of the transcribed text and generate from that, the video or audio cut that belongs to that section of the text! -> Video cuts can be exported as individual video files, original file with time limits or even GIF animated format! -> Take screenshots at any point of the video and place into the document -> Import external videos, youtube videos, social media content as posts from facebook, instagram, google forms and more! -> Export directly to html, pdf or a word document. You can also import directly into a wordpress blog too!
A 15 minutes video or audio resource can be transcribed and exported for about $3 USD!
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It's fast - but for an API, not the fastest speech-to-text. For a long while I hadn't done research and trusted them. Then tried Whisper and Picovoice. On-device latency is nothing comparable with cloud APIs. If latency is important go with Whisper or Picovoice. If customization is also important go with Picovoice.
don't get me wrong it's still faster than amazon, Microsoft or Assemblyai
Based on our record, Deepgram seems to be more popular. It has been mentiond 27 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Lastly, we will be using Deepgram Audio Diarization APIs to get speaker details from a sample audio clip. - Source: dev.to / 4 months ago
There are other AI-powered APIs out there to consider, too. For example, Deepgram can be used to transcribe audio (better than Whisper, offered by OpenAI), ElevenLabs can be used to generate speech from text (including using custom voices, which OpenAI's TTS can't currently do), etc. Depending on what you're trying to make, a combination of these services may be what you need. In any case, Python is going to be... Source: 5 months ago
This guide delves deep into the world of YouTube video summarization, harnessing the power of cutting-edge technologies including Deepgram for superior audio transcription, Langchain for harvesting the power of the LLM, and Mistral 7B, a state-of-the-art and open-source LLM. - Source: dev.to / 6 months ago
Historically it's been challenging to provide closed captioning for live experiences, be it a live interview, a sports game with commentary, or a livestream. But Deepgram's AI tooling has changed this, allowing users to easily convert realtime streams of audio into accurate transcripts. - Source: dev.to / 6 months ago
To deliver the best possible output, we’ve tested a wide range of AI models and supporting tools. Today, we’re producing industry-leading clinical notes text by combining Deepgram’s highly capable transcription models, ScienceIO’s healthcare-specific AI for processing medical data, and the Microsoft Azure OpenAI GPT-4 large language model. We’ve worked closely with all three teams to bring this new capability to... - Source: dev.to / 8 months ago
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