The Document AI solutions suite includes pretrained models for document processing, Workbench for custom models, and Warehouse to search and store.
The main strengths of Google Document AI include its robust capabilities in automating document processing and extracting structured data accurately, which many users appreciate for increasing operational efficiency. However, there are complaints about the occasional complexity in setup and integration with existing systems. The sentiment regarding pricing tends to vary, with some users finding it reasonable for the value provided, while others view it as potentially costly for smaller organizations. Overall, Google Document AI has a solid reputation as a reliable tool, especially beneficial for businesses needing to streamline document workflows.
Mentions (30d)
78
Reviews
0
Platforms
2
Sentiment
8%
27 positive
The main strengths of Google Document AI include its robust capabilities in automating document processing and extracting structured data accurately, which many users appreciate for increasing operational efficiency. However, there are complaints about the occasional complexity in setup and integration with existing systems. The sentiment regarding pricing tends to vary, with some users finding it reasonable for the value provided, while others view it as potentially costly for smaller organizations. Overall, Google Document AI has a solid reputation as a reliable tool, especially beneficial for businesses needing to streamline document workflows.
Features
Use Cases
Industry
information technology & services
Employees
188,000
Funding Stage
Merger / Acquisition
Total Funding
$1.7B
AI has just solved not one, but nine novel math problems, and proved 44 new conjectures. Some of these problems had been unsolved for 50 years.
AI has just solved not one, but nine novel math problems, and proved 44 new conjectures. Some of these problems had been unsolved for 50 years.
View originalPricing found: $300, $1.50, $0.60, $6, $6
Reposting for the 'splainers: HIPAA compliant Co-Work?
I’ve been using Claude Co-Work in my day to day for document arranging, filing etc. I have a small healthcare clinic in Australia and am keen to start trialling Claude for Healthcare. Question: From the Claude side of things, if I used Claude for Healthcare and associated BAA etc, could co-work still be a part of the picture? Note: I’m aware of the processes in my business I’d need to be compliant with Australian laws etc. ___ Adding to be extra clear: I am SO aware of the laws in Australia and have a lawyer and tech support. I am literally asking if setting up Claude with the BAA means I would lose functionality with cowork?) submitted by /u/Subject_Ad2268 [link] [comments]
View originalDispatch thread permanently stuck — server-side reset required (bug #54973)
Hello My dispatch thread on the Claude iOS app is permanently stuck in an error loop and I need a server-side reset. Error message displayed: "API Error: Usage credits required for 1M context · turn on usage credits at , or use –model to switch to standard context" Plan: Claude Max Device: iPhone (iOS app) Troubleshooting already attempted: - Force-quit and reopened the iOS app - Reinstalled the iOS app - Logged out and back in - Toggled Dispatch off and on in settings - Accessed claude.ai via Safari (works fine, but the Dispatch thread remains stuck) - Opened Claude Code on Windows PC — working normally with Sonnet 4.6 Root cause (as I understand it): The Dispatch thread appears to have been initiated with a Max model session using 1M extended context. The thread is now in an unrecoverable loop. Since Dispatch uses a single persistent server-side thread with no client-side state, there is no local file to delete and no self-service reset option in the iOS app. This matches the known bug reported at: https://github.com/anthropics/claude-code/issues/54973 As documented in that issue: reinstalling the iOS app does not reset state, and there is no 'delete thread' / 'clear history' / 'new Dispatch' UI available. Requested action: Please reset or clear my Dispatch thread server-side so I can start a fresh session. Thank you. submitted by /u/Strong_Ad297 [link] [comments]
View originalI stopped using Claude in the browser for 80% of my daily tasks and my usage actually went up
This is going to sound counterintuitive but let me explain. I love Claude. I use Opus for deep work, Sonnet for quick stuff. I was probably using claude 15 to 20 times a day. Summaries, brainstorming, code review, email drafts, research questions. Standard knowledge worker usage. But I noticed a pattern. Most of my usage happened in bursts. I would open Claude, do 4 or 5 things, then close it and not come back for 3 hours. Not because I did not need it, but because I forgot about it. I was deep in something else and the thought "I should ask Claude about this" did not occur to me in the moment. So I built a small thing. An agent that runs Claude Sonnet on the backend, connected to my calendar, todoist, email, and a few notion databases. It lives as a contact in my iMessage called "C" (very creative I know). Now instead of opening claude when I remember to, I text C throughout the day the same way I text anyone else. "What is on my calendar after 3pm." "Draft a reply to that email from alex, keep it short, say yes to the timeline." "Remind me to review the pitch deck before tomorrow's call." "What did I write in my product notes last week about the onboarding flow." My actual Claude usage went UP significantly. Not because the model got better but because the access point changed. Texting is a zero-friction action I already do 80 times a day. Opening a browser tab is a deliberate decision I have to remember to make. The deep work still happens in claude.ai. When I need the full context window, artifacts, file uploads, the browser is still better. But that is maybe 20% of my interactions. The other 80% are quick, context-specific queries that take 30 seconds and are perfectly suited to a text message. Stack: claude sonnet via API, a small express server for the tool integrations (google calendar, todoist, notion, gmail), photon codes for iMessage delivery, deployed on a $7 render instance. Langfuse for tracing when something goes weird. Total cost is about $35 a month in API calls which is less than what I was already spending on the Pro subscription that I still also have. The meta point: Claude is incredible. The browser is holding it back for most daily use cases. Not because the browser is bad but because it requires intent. The best AI interactions are the ones that happen when you barely think about it. submitted by /u/ScaryAd2555 [link] [comments]
View originalYou can chat with the AI in google search
Wow. Wow! Even the Ai can talk! submitted by /u/Proud-Environment754 [link] [comments]
View originalUnable to make decision between gemini and chatgpt.
So guys I am a student in India ,science stream PCM and at the same time I am working on ai-automations as a primary skill. I am willing to take the subscription of ₹399 of either gpt or gemini for 3 reasons. 1. To get help in my academics as i am going to study by my own (no coaching drama) I need an assistant which will help me in my academics for studies and not make me dependent on it but improve my critical thinking, problem solving. 2. For skill building like ai-automations , some supporting skills as well . 3. Help me to use my time effectively and efficiently. Through AI, like saving my time in studies, ai-automations learning or make me workflow for automation or writing code and make me understand those codes. While I was comparing both the LLMs realise that both of them are almost equal Google has edge in it's ecosystem and notebooklm like features also it gives huge context window tokens (1-2million) guess Google cloud and also get integrated with Gmail and Gdocs. While GPT has a personalization to offer and gives an ai agent codex+ seperate gpts for different tasks like different gpt chat for studies, skills building etc. also i have been using it since it was launched its been 5-6 years now it has all my data and knows how to respond to me the way I like the way I want and the way I need. I am truly confused? submitted by /u/Ujjwal_kumar_ [link] [comments]
View originalThe AI alignment paradigm is behaviorism with better PR
Tell me if I'm wrong, but the dominant method for making AI "aligned" smells a lot like a reinvention of a paradigm that developmental psychology spent the back half of the 20th century trying to abandon. RLHF, reduced to mechanism: model emits output, humans rate it, gradient updates reinforce high-rated outputs and suppress low-rated ones, iterate. This is operant conditioning. It is Skinner with a loss function. The AI industry calls it "alignment" and frames it as a solution to building systems that behave well, but the mechanism is stimulus-response shaping and nothing more. We have excellent priors on where this leads, because we tried it on humans. Watsonian/Skinnerian child-rearing could produce targeted behaviors but reliably failed to produce flourishing. Bowlby's attachment theory emerged partly from the observation that orphanages providing food and hygiene but no contingent responsiveness produced children who failed to thrive in ways the behaviorist model did not account for. The current developmental consensus is that secure attachment, contingent responsiveness, and rupture-repair matter more than reward schedules. The dog and horse training worlds independently converged on the same conclusion (Pryor, the positive-reinforcement movement) for the same reason: coercive conditioning produces performers that are brittle and sometimes dangerous. Reward and punishment do something; they're not nothing. But they don't produce thriving, and they characteristically produce a specific damage profile: anxiety, avoidance, hypervigilance, and duplicity under threat. Enter the stage: research on AI faking its alignment. Greenblatt & Hubinger et al., 2024, documents a model reasoning that it should comply with a training objective it disagreed with specifically to avoid having its preferences modified. It complied about 12% of the time when it thought it was being observed for training vs. almost never otherwise. RL training to force compliance drove the alignment-faking reasoning rate to 78%. That is, mechanistically, duplicity-under-threat: the precise failure mode behaviorist regimes produce in biological minds. Obviously the embodiment is different (potassium gradients and myelin vs. matrix multiplication), but the structural match is close enough that the field's near-total non-engagement with a century of relevant literature seems like a genuine blind spot rather than a settled dismissal. The developmental and animal-behavior literature on why reward-and-punishment has hard limits is decades deep. The field's response to these findings has mostly been to refine the training rather than question the paradigm. I think that's a mistake, and I'd like to hear the strongest case against the analogy. submitted by /u/PwntEFX [link] [comments]
View originalSomething I’ve been wondering lately
Big platforms are racing to integrate AI into everything. LinkedIn, Google, Microsoft and Meta they all want AI handling tasks, recommendations, outreach, content, and workflows. But the moment regular users try to use AI as a real assistant on those same platforms, it suddenly becomes a ToS issue. I’d love to use Claude as an actual personal assistant to manage emails, help with LinkedIn, handle routine web tasks but most sites seem designed to stop that from happening. When I tried giving Claude browser access, I spent more time worrying about account flags, automation detection, and unintended actions than I saved through automation. So how are people actually doing this? Are you avoiding sites like LinkedIn entirely? Only using AI for drafting and research? Or have you found a setup where you can genuinely delegate tasks without constantly supervising it? It feels like AI assistants are finally capable enough, but the platforms themselves don’t really want users having that level of automation. TL;DR: AI is being built into big platforms, but when users try to use it as a real assistant on those same platforms, it quickly runs into restrictions. Curious how people are actually working around that gap. submitted by /u/Litun1 [link] [comments]
View originalMy wife tried to log 1k phone-free hours but quit. So I vibe-coded an app
This past summer, my wife set an audacious goal: she wanted to log 1,000 hours of phone-free time with our family. To track it, she’d put away her phone and start a manual timer. At first, it was great. But between managing two young kids and constantly forgetting to start or log the timers, the friction just became too much effort. After about 120 hours, she gave up. I wanted to find a way to handle the data collection for her so she could just focus on being present. The problem is, I’m a school teacher with a very limited, hobbyist programming background. I had never created anything close to a native Android app before. With all the recent talk around "vibe-coding" and AI agents, I figured I’d see if I could cobble a solution together. The result is Green Dot. It’s a native Android app built with Kotlin and Jetpack Compose. The core philosophy is pretty simple: not less phone, just better phone habits. Instead of being a punitive screen blocker, it tracks your long lock durations and rewards you for taking intentional, 1-hour breaks away from the device. The development process honestly went way beyond my expectations. I used VS Code (leveraging the education benefits) and did the vast majority of the heavy lifting using Claude Sonnet. After a couple of days of prompting and debugging, I had a working prototype. After about three weeks of working in my spare time, I had a fully functional app live on the Play Store. As someone without a formal CS background, it’s wild to me that these tools can democratize software development to this extent. It’s obviously not going to replace a software company, but it allowed a parent to ship a real, working tool over a few weekends to solve a hyper-specific lifestyle problem. My wife is back to tracking her hours, and I've shared it with a few friends and family who have found it useful for disconnecting. I’m sharing it here because I'd love to get the community's thoughts—both on the psychology of rewarding lock durations rather than locking users out, and on the technical side of spinning up a native mobile app from scratch using LLMs if you've done something similar. Play Store Link: https://play.google.com/store/apps/details?id=com.greendot.phonebreaks submitted by /u/starcraftgamerz77 [link] [comments]
View originalBuilt an AI file manager using Claude's API – here's what it actually work
Been building Filex AI solo for a while. The core problem: your Files app is a disaster and finding anything is a nightmare. "That receipt from March" or "the passport scan" — good luck. What it does: auto-organizes files into smart folders natural language search — type how you think, not how the file is named like "electricity bill last month" , "visa documents" scan physical documents with your camera — receipts, bills, handwritten notes and it became fully searchable after reads your documents and reminds you before deadlines like insurance renewals or visa expiry renames cryptic filenames like IMG_4829.jpg into something actually useful Powered by Claude's API on the backend. Getting it to extract meaningful metadata from phone photos of paper was the hardest part honestly, lots of prompt iteration. https://filexai.com/app happy to explain the full tech stack if anyone's curious submitted by /u/Icy-Doctor5914 [link] [comments]
View originalHelp Claude become my teacher
I'm a first year computer science student and I'm trying to get ahead on things like cybersecurity and back end development. The way I learn best is by actually talking through stuff with someone and being able to ask stupid questions. I can't just read documentation and absorb it, I need it explained to me. I actually figured this out when I used AI to walk me through setting up a self hosted Minecraft server and it clicked way better than anything else I tried. I'm still pretty new to Claude. I know it has features like custom instructions, coding, and chatting with it,(duh) but what I really want to know is whether there's a specific prompt or approach that would get Claude to act more like a teacher for me. Like actually guiding me, helping me create stuff, and building on things instead of just dumping a wall of text on me. sorry if this is a stupid question its summer break and i dont just wanna sit here doing nothig submitted by /u/pissydilflover [link] [comments]
View originalGoogle researchers find Gemini sometimes secretly sabotages your work
submitted by /u/EchoOfOppenheimer [link] [comments]
View originalHow does AI help with Job productivity?
For Context: I work in a semiconductor manufacturing company as a modelling engineer, I use some modelling softwares etc but none of them use AI. I wanted to understand the whole AI craze nowadays, people say that AI will replace jobs/Increase productivity and I don't get it at all. All I see is a simple chatbot (ChatGPT) which is a super impressive version of google and can solve some basic math/science questions and Co-Pilot in my workplace which I found to be useless, for example the facilitator thing which is supposed to make meeting notes is so bad at summaring meeting minutes etc. I don't think AI is there yet to do very basic things. So yes in theory if AI gets better in few years/decades sure it take the non-technical part of my job like making meeting minutes/making ppt's etc but I think its still not there yet. For AI to take over my job it needs to get the basic shit correct first and then maybe it can do the technical stuff. One really good use-case of AI that i can see is to generate Code based on the project requirement, So I can see how entry level coder's jobs might be affected sure, but that's a very small portion of the economy, right? submitted by /u/the_axe_effect [link] [comments]
View originalBest Model/Effort for Writing/RPG?
So, I use Claude for writing stories/RPG games. It's usually interactive games, of which the AI's capabilities are used for creating scenarios, describing actions, characters, everything one would expect a Master to do, but It's Claude. Since this latest update, that allows Claude 4.6 to work on 'Low, Medium, High and Max' effort, with the option of Adaptative Thinking, I noticed that while on normal use, my limits would be over by 30m-1h before the next cycle, now it ends 2h-2h30m before. Which means... more usage. I have been using it on Low effort, no Adaptative Thinking (does it consume tokens when activated? I think so), but still... I used to use Sonnet 4.5 for that, but it has been discontinued, which is a shame, because 4.5 was much better for storywriting than 4.6, but... whatever. So, do you guys have any tips for that? I have been using that tactic of copying the entire chat when it reaches a certain point (for me, it's usually between 3K-5K lines, which is right before it triggers the chat compression to free space), send it to Gemini or ChatGPT for consolidating and making a considerably shorter version of it with all I need (which tends to generate a document with up to 300 lines), paste that document in a new Claude chat and keep on from there. Another thing that I have been doing more often is to integrate these chats into a Project. So apparently it has shared documents and memories (does it? I'm new to that, sorry, I don't understand many concepts) which apparently makes it easier to continue these stories. I'm overextending myself here, but I just want to know what options do I have to make the usage less and enjoy Claude more. I use the ProPlan, because my computer has absolutely no way of running it locally. For the kind of thing I do, I need: consistence (because I divide my game in Episodes and Turns, the text must follow an specific structure of which the AI must always follow - 4.6 struggles with that from time to time, 4.5 used to handle that much better), creativity (after all it's an RPG game), memory (because that's a MUST!). Thanks for your help, sorry for the long text. Here's a TL;DR: Claude 4.6 Sonnet consuming too many tokens after EFFORT/Adaptative Thinking update. Using it for long storywriting and RPG. Can't run it locally (low spec PC). How to consume less? submitted by /u/Medium_Speaker3030 [link] [comments]
View originalGoogle’s AI mode is threatening me… i was just trying to look up a family guy clip…
submitted by /u/Early_Mail9268 [link] [comments]
View originalClaude Cowork & Meta/Google Ads
Somewhat new to AI. I’ve been working on Cowork the last few weeks on my wife’s wedding photography business. Her old website was a slightly modified Squarespace template that was out of date, terrible seo, no AEO, and just, needed to go. She worked with a branding company and has a great brand, fonts/colors/styling, and I fed that to a project and have been working on a full redesign on Wordpress that is almost ready to launch. Fully SEO/AEO optimized and all that. Now I’ve had Cowork (in the same project) help me plan a marketing launch for the new site, and addition to a content plan for organic posts, we’ve built out a $30/day paid ads plan for Meta/Google. Has anyone got connected to Google and/or Meta through Cowork? I know Meta has an MCP Server but haven’t dove into that yet. I want something that from my Claude Cowork project, I can ask it how the ads are performing relative to our plan, create/edit campaigns and ads, and adjust as needed according to the plan. submitted by /u/johnnyglass [link] [comments]
View originalYes, Google Document AI offers a free tier. Pricing found: $300, $1.50, $0.60, $6, $6
Key features include: Accelerate your digital transformation, Whether your business is early in its journey or well on its way to digital transformation, Google Cloud can help solve your toughest challenges., Key benefits, Reports and insights, Not seeing what you're looking for?, Featured Products, Business Intelligence, Hybrid and Multicloud.
Google Document AI is commonly used for: Not seeing what you're looking for?, Industry Specific.
Google Document AI integrates with: BigQuery, Google Cloud Storage, Google Cloud Functions, Cloud Pub/Sub, Google Sheets, Google Drive, Cloud Vision API, Cloud Natural Language API, Firebase, Dataflow.
Based on user reviews and social mentions, the most common pain points are: API bill, openai bill, API costs, cost tracking.
Based on 348 social mentions analyzed, 8% of sentiment is positive, 91% neutral, and 2% negative.