SShortSingh.
Back to feed

MedSpeak Update Adds In-Browser OCR to Decode Prescription Labels from Photos

0
·1 views

MedSpeak, a tool that translates medical prescription shorthand into plain language, has received an update enabling users to photograph a label instead of typing text manually. The update integrates Tesseract.js, an open-source OCR library, which processes images entirely within the browser so no photo data is sent to a server. The backend was also reworked to use a JSON API instead of traditional form submissions, making results appear instantly without a full page reload. The core decoding logic and lookup tables from the original version remain unchanged. Together, these changes streamline the workflow from snapping a label photo to receiving a readable translation in seconds.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

AI Startups Accumulate Heavy Debt While Concealing Financial Struggles

Many AI startups are taking on significant debt to scale rapidly and capture market share, often before their products generate sustainable profits. Despite attracting large volumes of investor funding, several companies have faced layoffs and financial strain when implementation costs outpaced revenues. Industry observers note that the sector's culture of hype frequently masks underlying financial instability, making it difficult for outsiders to gauge a company's true fiscal health. Ethical missteps and a tendency to build technology without addressing genuine user needs have compounded costs for some firms. Analysts warn that prioritizing reckless expansion over responsible, sustainable growth poses serious long-term risks for the AI industry.

0
ProgrammingDEV Community ·

How one dev got AI search engines to actually cite his site's content

A developer at a content platform with roughly 1,600 articles investigated why almost none of their pages were being cited by AI answer engines such as ChatGPT, Perplexity, and Google AI Overviews. He found that a misconfigured robots.txt was wasting crawl budget on irrelevant endpoints, because per-bot user-agent blocks override the wildcard rule rather than merging with it. The fix involved consolidating all rules under a single wildcard directive and adding an llms.txt file — a plain-text list of the site's best URLs with brief descriptions for AI models. He also discovered that answer engines cite individual passages rather than full pages, meaning content performs better when headings are phrased as direct questions and answers are stated upfront in roughly 500-token chunks. A separate bug revealed the site's table of contents had never rendered for any reader due to a heading ID mismatch in the markdown renderer, which required re-rendering all stored article HTML to fix.

0
ProgrammingHacker News ·

Java Proposes Built-In Simple JSON API via JEP 540 Incubator Stage

OpenJDK has introduced JEP 540, a proposal to add a native Simple JSON API to the Java platform. The feature is currently in the incubator stage, meaning it is available for early testing but not yet finalized. The initiative aims to provide Java developers with a straightforward, built-in way to handle JSON without relying on third-party libraries. The proposal is publicly documented on the official OpenJDK website for community review and feedback.

0
ProgrammingDEV Community ·

TCP MSS Clamping Explained: A Hands-On Fix for Path MTU Black Holes

Protocol Lab has released Lab #26, a free hands-on networking tutorial focused on TCP Maximum Segment Size (MSS) clamping as a solution to Path MTU Discovery (PMTUD) failures. When ICMP messages are filtered along a network path, PMTUD can silently drop oversized packets, creating a 'black hole' effect that disrupts TCP connections. MSS clamping addresses this by having a router rewrite the MSS field in passing TCP SYN packets, ensuring both endpoints agree on a segment size that fits the narrowest link before data transfer begins. In the lab's topology, a router clamps the client's advertised MSS from 1460 to 1360 bytes to accommodate a 1400-MTU link, eliminating dependence on PMTUD. The tutorial runs in a containerlab environment and is particularly relevant for networks using tunneling protocols such as WireGuard, VXLAN, or GRE, which reduce the effective MTU.