Bro I am surely gonna add OpenDataLoader PDF v2.0 in my AI apps. PDF was built for printing, not for AI. Wrong reading order. Broken tables. Lost structure. No accessibility tags. Your RAG pipeline is cooked before you write a single line of code. The tool you pick is 90% of the battle. Most people are using marker or pymupdf. Let's be honest they git a trash output and take more time. OpenDataLoader runs at 0.05 seconds. CPU only. No GPU. 100 pages per second with batching. Ranked #1 on accuracy. 0.90 overall, 0.93 on tables. Bounding boxes on every element. Prompt injection filtering built in. AI-ready output. Markdown for chunking, JSON with bounding boxes for citations, native LangChain integration.

ElevenLabs generates 144 chars/sec. OpenAI TTS-1 generates 55 chars/sec. Supertone Inc just dropped a banger Supertonic runs at 1,048 chars/sec on a CPU. No cloud. No API call. Just your device. And it runs on a Raspberry Pi. The TTS space just quietly had its "run Llama on a MacBook" moment and most people missed it. And it even supports a Voice Builder to clone and deploy your own voice edge-native. Attached is the link to it-