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deAPI
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deAPI
@deAPI_
One API for generative AI apps. Generate images, videos, speech, transcribe YouTube/X. Save up to 95%. $5 free to start.
API Katılım Ağustos 2025
159 Takip Edilen160 Takipçiler
If your app uses the OpenAI SDK, it already works with deAPI.
Swap base_url and api_key. Your existing client connects to FLUX image gen, Whisper at 17x less than OpenAI pricing, and multi-voice TTS.
LangChain, CrewAI, Vercel AI SDK - they all route through the same two-line change.
deapi.ai/blog/use-your-…
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Claude Code, Codex, Antigravity - the coding agent wars are making it stupidly easy to build AI apps.
A solo dev ships in a weekend what used to take a team three months. But every app they build needs a backend: generate an image, transcribe audio, clone a voice, remove a background.
That's where we live.
deAPI gives your vibe-coded app the same AI capabilities that used to require three vendors and a billing spreadsheet. One API key covers image gen at $0.001/call, transcription at $0.02/hour, TTS, OCR, and video - open-source models, pay only for what you use.
More coding agents means more apps. More apps means more API calls. We're ready.
khushi.vy@khushiirl
why is no one talking about anti-gravity????? did Claude and Codex just take over the whole market???? anti-gravity literally disappeared like it never existed 😭
English
"How do I make talking avatar videos without filming myself?"
Step 1: Record 10 seconds of your voice.
Step 2: Pick a photo.
Step 3: Let an @n8n_io workflow handle the rest - voice cloning, prompt crafting, lip-synced video generation.
Two deAPI calls. Zero production crew.
Grab the workflow 👇
n8n.io/workflows/14190
English
An AI agent that runs 200 API calls to finish one task sounds impressive until you see the invoice.
Image generation, transcription, TTS - agents chain these like crazy. Your weekend prototype works great. Then Monday hits and your $50 credit is gone by lunch.
The math changes when image gen costs $0.001 and transcription runs at $0.02/hour. Suddenly that agent can loop 10x more before anyone notices the bill.
We built deAPI for humans, but turns out autonomous agents love cheap APIs even more.
Aaron Levie@levie
Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work that is going to be created to implement agents in enterprises will exceed anything we imagine today. The complexity of implementing agents in any existing organizations is very real. When I talk to large enterprises, as you move from a chat paradigm to agents that participate in meaningful workflows, there are a number of things they need to do. First, you have to get agents to be able to talk to your data securely across your systems. In many cases, enterprises have decades of legacy infrastructure that contain the valuable context for AI agents. That’s going to take a ton of work to go modernize and move to systems that work well with agents. Then, you need to ensure that you’ve implemented agents with the right access controls and entitlements, the right scopes to be safely used, and have ways of monitoring, logging, and securing the work that they do. Next, you need to actually document the processes in the organization in a way that agents can utilize for doing the work. You also need to figure out what the new workflow looks like when agents and people are working together on a process, and who steps in where. Just replicating the old workflow will mute the gains. Oh and you likely need to create evals for your top new end-state processes. Finally, you have to keep up with a rapidly changing set of best practices and architectural shifts happening in the agent space. While it’s fun for people to change their personal productivity tools on a dime, it’s 100X harder to do this in a business process. The speed of change is a blessing and a curse right now for anyone trying to keep a stable system design. All of this means that individuals and companies that develop expertise on the above set of components (and more) are going to be needed to help organizations actually implement agents at scale. This is also the rationale for vertical AI agents right now that can go in deep on a business domain and help bring automation to it. This is a huge opportunity right now whether you’re doing this internally or as an external business provider.
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Referral program update - it's live and people are already earning credits just by sharing what they use.
If you missed it: invite devs → they get $5 free → you earn 10% lifetime commission on every top-up they make. Paid as API credits.
Referral link sitting in your profile. Takes 10 seconds.
English
Your team records meetings on YouTube. Nobody writes the notes.
This @n8n_io workflow fixes that:
1. RSS picks up a new YouTube upload
2. deAPI transcribes it directly from the URL - no file download, no size limits
3. AI Agent pulls out summary, action items, decisions
4. Notion gets a structured notes page
5. Slack gets a ping with the highlights
From recording to searchable notes in minutes. Zero manual work.
Template 👇
n8n.io/workflows/13919
English
Most AI projects don't fail because of bad models.
They fail because you're stitching together 6 different APIs, managing 6 sets of docs, and watching 6 invoices drain your credits before launch.
One key. Fifteen tools. The pricing your side project can actually survive on.
English
You can generate music through an API call.
ACE-Step 1.5 hit deAPI in three flavors - XL Turbo INT8 for speed, Base for quality, Turbo for the sweet spot between both.
Build a beat generator, a jingle SaaS, a soundtrack tool for game devs. One API key, no ML infrastructure, pay per track.
Playground's live if you want to hear it first:
deapi.ai/playground/tex…
English
Paste a YouTube URL. Get a summary and a ready-to-use thumbnail.
New @n8n_io workflow on the community hub:
↳ Transcribes the video (Whisper Large V3)
↳ AI agent writes a summary from the transcript
↳ Prompt Booster crafts an image prompt
↳ Generates a 1280x720 thumbnail
↳ Uploads it straight to Google Drive
Five steps, zero manual work. Built for creators who manage multiple channels and can't spend 30 minutes per video on post-production.
Works with Twitch, X, and Kick URLs too.
👉 n8n.io/workflows/13889
English
Last year the question was "which model is best?"
This year it's "how fast can I wire image gen → upscale → background removal into one pipeline?"
That's what we built deAPI around. One API key, twelve endpoints. You chain them however your app needs:
→ Generate product shot from text
→ Upscale to 4x
→ Remove background
→ Done. Three calls, one integration.
The model layer is a commodity now. The workflow layer is where builders actually ship faster.
Bin Liu@liu8in
making websites w Claude Design? well we built hyperframes/website-to-hyperframes skill cuz websites are all just HTML + CSS + JS! and ofc, this launch video also made with hyperframes. comment "hyperframes" - i'll send you full codebase access for this video.
English
If you've been using deAPI, here's a reason to tell your dev friends about it.
We just launched referrals - 10% lifetime commission on every top-up from people you invite. Paid as API credits to your balance.
They sign up with $5 free. You earn every time they reload.
Your referral link is in your profile.
English
Google just demoed sketch-to-app with Gemini. Draw a wireframe, describe the logic, get a working app.
This changes who can build software. It also changes what "building" actually means - less writing code, more picking the right APIs behind it.
Your sketch becomes a product the moment it connects to real infrastructure. Image generation at $0.002 per request. Transcription for $0.02/hour. Voice for pennies.
The best part of the vibe coding era? The prototype and the product are the same weekend apart.
Google AI@GoogleAI
Got a doodle for your next project laying around? Turn it into working software using @GoogleAIStudio and Nano Banana. Watch us vibe code a weather-responsive outfit selector app from a single, hand-drawn sketch:
English
HackNation 2️⃣0️⃣2️⃣6️⃣ nadchodzi! 🚀
Tysiące pomysłów, 24 godziny i jeden cel - usprawnić państwo.
Już 21–22 listopada 2026 r. wracamy do Bydgoszczy z największym w Polsce hackathonem wdrożeniowym dla innowacji w administracji.
Przygotujcie się na nieprzerwaną dawkę kreatywnej energii, współpracy i budowania rozwiązań, które mają znaczenie!
🧑💻 To będzie czas intensywnego kodowania, projektowania i wymiany idei — od pierwszego pomysłu aż po działający prototyp.
Jeśli lubisz tworzyć, eksperymentować i działać zespołowo, nie może Cię zabraknąć.
📅 Zapisz datę i śledź nasze kanały – szczegóły już wkrótce!
🔗 Zobacz podsumowanie HackNation 2025:
gov.pl/web/cyfryzacja……
#HackNation #HackNation2026 #Hackathon #PolskaKoduje
Polski
We’re thrilled to announce @MiniMax_AI M2.7 is now available Day-0 on Fireworks for commercial use.
This self-evolving agentic model delivers frontier-level performance across:
→ Software engineering & code security
→ Complex autonomous agents
→ End-to-end project delivery
→ Log analysis & office automation
200K+ context. Strong reasoning. Native multi-agent support. Production-ready from day one.
Another Day-0 launch, so you get their fastest innovations the moment they ship.
Try it now:
fireworks.ai/models/firewor…
English
People say model loyalty matters.
In practice, developers switch the moment the math makes sense.
If migration takes one afternoon and your bill drops 3x, the “best model” debate gets very practical very fast.
That’s why API products win on boring things:
clear pricing, compatible endpoints, fast docs.
Nobody brags about that on stage.
Everybody cares when they ship.
0xSero@0xSero
lifehack 1. copy ~/.claude into ~/.claude-zai 2. make an alias for claude-zai when you use that command it passes off your api key and url to Claude Code 3. use GLM-5.1 in Claude Code The model is very good with Claude Code, I prefer Droid but loop is really useful
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