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apichar

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投稿

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1 ポイント·投稿者 apichar·昨年·0 コメント

[untitled]

1 ポイント·投稿者 apichar·昨年·0 コメント

Show HN: We are 2.4x faster than Open AI latest SST model

4 ポイント·投稿者 apichar·昨年·4 コメント

Show HN: We're Leveraging DeepSeek R1 for AI Fine-Tuning and Synthetic Data

3 ポイント·投稿者 apichar·昨年·0 コメント

Show HN: Open-Source MCP Server for Context and AI Tools

43 ポイント·投稿者 apichar·昨年·12 コメント

We outperformed Mistral OCR with a tiny team

7 ポイント·投稿者 apichar·昨年·6 コメント

Show HN: AI-Powered Web Scraper – No Selectors, No Headaches

1 ポイント·投稿者 apichar·昨年·0 コメント

Can AI Accurately Translate Text in Images While Keeping the Original Style?

2 ポイント·投稿者 apichar·昨年·0 コメント

OmiAI: The AI SDK that picks the best model for you

jigsawstack.com
1 ポイント·投稿者 apichar·昨年·0 コメント

JigsawStack v3 – New Tools for AI Devs

jigsawstack.com
1 ポイント·投稿者 apichar·昨年·0 コメント

JigsawStacks Prompt Engine's Input Limit Increased from 30k to 500k Characters

1 ポイント·投稿者 apichar·昨年·0 コメント

We built the fastest Speech-To-Text AI API!

2 ポイント·投稿者 apichar·2 年前·0 コメント

Localize your Supabase database with AI translation right from the dashboard [video]

youtube.com
1 ポイント·投稿者 apichar·2 年前·0 コメント

JigsawStack Now Available in Langchain.js

jigsawstack.com
1 ポイント·投稿者 apichar·2 年前·1 コメント

Groq and JigsawStack: 100x speed on every prompt

jigsawstack.com
1 ポイント·投稿者 apichar·2 年前·0 コメント

コメント

apichar
·昨年·議論
We encourage everyone to try out our model. Here is a link to get started: https://jigsawstack.com/speech-to-text
apichar
·昨年·議論
You can upload a PDF directly, and the vOCR API supports a page_range parameter so you can specify which pages to process in a single request (e.g., [1,10]).

If your PDF has more than 10 pages, you can make multiple requests, each specifying a different page range (e.g., [1,10], [11,20], etc.). No need to manually split the file.

Also, I totally get that tokens can feel abstract. However by making this shift we can focus on processing time. In doing so the token-based pricing model allows us to be more flexible and provide more at a cheaper cost.

For example, instead of $0.05 per invocation it could be as low as $0.0014–$0.0035 per page depending on factors like the amount of text extracted and formatting.

We do appreciate the feedback and will continue make this approach as transparent as possible.
apichar
·昨年·議論
True- I saw that too, but I also wanted to start a thread to chat with the community and hear different perspectives. Would love to get your thoughts!
apichar
·昨年·議論
Our pricing model is being updated soon to be even more cost-effective. Currently, we support up to 10 pages per API request. With the upcoming token-based pricing, costs will drop significantly to just $1.40 per 1M tokens.
apichar
·2 年前·議論
We're thrilled to announce that JigsawStack’s AI tools are now available in LangChain.js! Automate tasks like web scraping, transcription, and SQL generation with just a few lines of code. Our tools are designed to simplify your workflow and boost your app's AI capabilities.

Check out the full suite of tools and how you can integrate them into your next project: https://jigsawstack.com/blog/jigsawstack-now-available-in-la...

We’d love to hear your feedback!