لوركا للذكاء الاصطناعي

Most aggregators reset a conversation the moment you swap models, which forces users to copy and paste context repeatedly. Lorka keeps the thread intact when moving from كلود to GPT or DeepSeek mid conversation, which matters for research and drafting work that benefits from comparing outputs without losing prior context.

The search tool queries live sources and returns a synthesised answer rather than a list of links, which cuts the time spent manually verifying facts for reports or تحليل السوق. A deeper research mode extends this by pulling from multiple sources for more thorough investigative queries.

Users upload any document and ask questions in plain language instead of reading linearly. This suits contract review, academic research and competitor analysis where the goal is extracting specific data points quickly rather than reading cover to cover.

The built in image tool handles prompt based generation alongside إزالة الخلفية, colour adjustment and style changes, which covers most marketing and presentation needs without a dedicated design subscription.

Content teams get a detection tool that flags machine generated patterns and a humanizer that smooths sentence rhythm afterwards, giving a review and refine loop for editorial quality without buying separate services for each step.

Speech to text input supports hands free drafting, while translation across more than 100 languages handles multilingual content production without a standalone localisation tool.