
Transcript LOL - Transcribe Audio or Video with AI
Transcribe audio and video files to text with AI-generated summaries.
@Mahima_Akkina · X
Yes, you can check - It's a tool used to convert both and video into text and summaries
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Transcribe audio and video files to text with AI-generated summaries.
@Mahima_Akkina · X
Yes, you can check - It's a tool used to convert both and video into text and summaries

Reads articles aloud in your browser with podcast-quality voices.
DmitryDolgopolo · HN
ReadAloud – on-device, podcast-quality text-to-speech in the browser

Get daily summaries of your podcasts with TLDRs and key takeaways.
u/owocki · Reddit
PodTLDR.fm — I follow 12 podcasts and listen to none of them, so I built the thing that reads them for me I follow about a dozen long-form podcasts - Acquired, Lex, Hardcore History - and I was permanently 30+ episodes behind. Every new 3-hour drop just added to the guilt pile. I didn't want to listen to them. I wanted to have heard them. So: PodTLDR.fm. Add a podcast, and every time it drops an episode we transcribe it, summarize it, and email you the TLDR by morning - the one-line point,

Transcribe audio files to text instantly with AI, no signup required.
音频转文字工具 — AI 音频转文字,快速、精准、安全的转写服务

Transcribe audio and video in 100+ languages, tailor your CV with AI, and find remote jobs.
@OauthNature · X
Ai cv tailoring job board

Convert audio and video files to text with speaker labels and timestamps, no signup required.
zxhywork · V2EX
SayScribe AI - 音频转文字的在线工具 花了几周搞了一个基于 OpenAI Whisper 的 AI 转录工具 **[SayScribe]( https://sayscribe.org)**,目前 5 个工具全部免费,每天 3 次无需注册。上线前请 SEO 专家做了一轮诊断,踩了不少坑,分享出来给同样在做工具站的 V 友参考。 --- ## 做了什么 核心工具是 **[Audio to Text Converter]( https://sayscribe.org)**(主页),上传音频/视频文件,AI 自动转成带 speaker labels 和时间戳的文字稿。选这个词的原因是:Google 第一页有个 DR 只有 10 的小站排第三,KD 才 20.2 ,链接预算只要 15-35 个引用域就能进前十——典型的弱盘面蓝海。 然后在主页基础上拆了 4 个子工具,每个打一个独立搜索词: - **[MP3 to Text]( https://sayscribe.org/mp3-to-text)** — 只转 MP3 。KD 41.7 比主页难一些,但

Access free earnings call transcripts or integrate via REST API and MCP server.
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.

Audit citations and verify authorship to prove the authenticity of your academic work.
@clawncore · X
