An easy to use, full-featured PDF editing software that is a reliable alternative to Adobe® Acrobat® and provides all PDF functions needed at a fraction of the cost. PDF Studio maintains full compatibility with the PDF Standard.
PDF Studio Standard Features: Create PDFs Scan-To-PDF OCR (Text Recognition) Annotate and Markup PDFs Precision Measuring Tools Fast Sign Fill In & Save PDF Forms Secure Documents Advanced PDF Splitting & Merging Create Watermarks, Headers, Footers Loupe, Pan & Zoom, Rulers, etc… Document Storage Integrations Docusign Integration Supports the new PDF 2.0 standards
Pro Features: All Features in Standard, Plus… Interactive Form Designer Content Editing (Text and Images) Enhanced Content Explorer Redaction Tools Sanitize PDFs Overlay Compare PDFs Optimize PDFs Digitally Sign PDFs Batch Process Multiple PDFs Tag PDFs for Accessibility (PDF/UA) PDF/A Validation / Conversion PDF/X Validation PDF/UA Validation Advanced Imposition & Printer Marks
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Based on our record, bloop seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this blog post, I’ll be comparing 3 distinct AI-first code search tools I recently came across: Cody (developed by late-stage startup, Sourcegraph), SeaGOAT (an open-source project that was trending on HN last week), and Bloop (an early-stage YC startup). I’ll be evaluating them along the dimensions of user-friendliness as well as their accuracy. - Source: dev.to / 7 months ago
If you're confused about any of the code snippets above, you can check out bloop.ai and phind.com (along with its VSCode extension) to answer any of your questions about the repository, noting that both have free plans. - Source: dev.to / 8 months ago
Bro let me turn your life inside out: https://bloop.ai. Source: 10 months ago
GPT4: Ok, here you go - https://bloop.ai/. Source: about 1 year ago
We've invested a lot into helping LLMs reason and explain large codebases. We use a hybrid approach of local models for semantic search and a mix of OpenAI and Anthropic's models for language output and summarisation. We're two years in but everything still feels super early given how quickly the fundamentals are improving. Would love your feedback - https://bloop.ai. - Source: Hacker News / about 1 year ago
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