
OpenLLM — All your LLM needs in 1 place
Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X
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Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X

Generate synchronized lyrics files (.lrc) from audio using AI, for karaoke and music players.
AI LRC Generator — AI LRC Generator 使用 AI 技术一键生成音频 LRC 文件!支持自动识别音频内容,精准同步时间轴,适用于配音、字幕、K歌、播客等多种场景。做这个起因是因为手里有一些老歌或者一些市面上消失的歌,没有歌词,所以搞了个音频处理+AI生成歌词的网站。

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

Sort and rename files inside ZIP archives with customizable rules, completely client-side in your browser.
@TraXx474387 · X
Built ZipSort 🗂️ Sort files inside ZIP archives in seconds — no upload, 100% client-side (your files never leave your browser). Set rules by extension, prefix, suffix or keyword → download a clean, organized ZIP. Free to try:

Convert MP3 and MP4 files to editable transcripts with timestamps and speaker identification.
digiplanp · V2EX
做了一个音视频转文字工具,支持 MP3/MP4、说话人识别和字幕导出 大家好,最近做了一个在线音视频转文字工具 ToText ,想发出来请大家体验一下,也听听 V 友的意见。 最开始做这个工具,是因为我自己在处理会议录音、访谈和视频内容时,发现单纯生成一大段文字并不太实用。转录完成后,通常还需要反复对照原始录音、修改错误、区分说话人,再整理摘要或字幕。 所以现在做成了一个相对完整的工作流: * 上传 MP3 、MP4 、M4A 、MOV 、WAV 、WebM 等音视频文件 * 自动识别语言并生成带时间戳的文字稿 * 支持说话人识别和说话人名称修改 * 点击文字片段可以跳转到对应的音视频位置 * 可以搜索、编辑和校对转录内容 * 自动生成摘要、会议纪要、章节和行动事项 * 支持导出 TXT 、DOCX 、PDF 、SRT 、VTT 、CSV 和 JSON 音频文件可以直接使用 [MP3 to Transcript]( https://totext.app/) 功能,比较适合播客、访谈、课程录音、会议和语音备忘录。 视频文件也使用同一个编辑器,通过

Route your LLM API requests across multiple providers to cut costs and meet latency targets.
Aperswal · HN
Made a Free LLM Router

OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API