Speech-to-Text technology is crucial for audio processing applications, but most solutions are limited by speed, accuracy, or feature constraints. What if you could transcribe audio with higher accuracy, better features, and significantly faster performance?We benchmarked OpenAI's newest gpt-4o-transcribe model against JigsawStack STT across real-world scenarios, including performance,...
LLMs are evolving fast—DeepSeek R1 is one of the latest making waves. But beyond the hype, how can it actually improve AI applications?At JigsawStack, we’re testing how DeepSeek R1 can enhance:- Synthetic Data Generation: Creating high-quality, reasoning-based datasets for fine-tuning. - Inference Optimization: Evaluating trade-offs between full-scale and distilled variants. - Structured...
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface?We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools...
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.
Mistral recently launched their OCR model, claiming to be the best in the world. We put that claim to the test against JigsawStack vOCR — our own OCR solution, built by a team of just three people.We benchmarked both models across real-world multilingual documents, handwriting recognition, structured data extraction, and bounding box accuracy. Here’s a quick breakdown:- Languages: Mistral...
We just launched a demo of JigsawStack’s AI WebScraper, and it makes web scraping effortless. Instead of manually inspecting HTML and dealing with bot blockers, just describe the data you need in natural language—and AI does the rest.Key features:- No CSS selectors—just tell AI what you want - Handles infinite scrolling & dynamic content - Perfect for web crawlers price tracking and...
We’re working on an Image-to-Image Translation Model that extracts, translates, and reinserts text into images while keeping the original style.So far, our pipeline involves: - OCR (PaddleOCR) for text extraction - Inpainting to remove original text - Overlaying translated text in a matching fontWhere we’re going: - Non-Latin scripts (e.g., Hindi, Arabic, Chinese) - Text with complex...
We're excited to announce JigsawStack's Prompt Engine total input limit has been increased from 30,000 characters to a 500,000 characters!No matter how you use Prompt Engine—be it for research, automation, or large-scale integrations—this update brings greater flexibility and power to create transformative AI solutions.Learn more about the update and how it can elevate your projects here:...
We conducted an in-depth analysis of four leading speech-to-text providers—JigsawStack, Groq, AssemblyAI, and OpenAI—focusing on latency, accuracy, cost, and features.Key findings:- JigsawStack: Best overall performance, excelling in speed and cost-effectiveness. - AssemblyAI: Strong in real-time transcription but significantly slower and more expensive. - Groq: Affordable but limited,...
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...
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