DeepSeek Opens Full Suite of Application APIs Including Voice and OCR, Enabling Low-Cost App Replication
DeepSeek has released independent APIs for web search, voice recognition, synthesis, and OCR, previously exclusive to its App, with competitive pricing.
Chinese AI company DeepSeek announced on November 14, 2026, that it has officially opened its "full suite" application APIs. Features previously available only within its official App—such as web search, deep thinking, file upload, link reading, and newly added voice recognition (ASR) and speech synthesis (TTS)—are now provided as independent interfaces. Developers can combine these capabilities as needed and are billed separately for each service.
The key update lies in the comprehensive opening of multimodal capabilities. Although DeepSeek launched Search and Fetch interfaces in October, developers previously had to write custom code to orchestrate model decisions, search execution, and content summarization. Now, by simply enabling web search, the model automatically handles search timing, content retrieval, and result integration. Additionally, voice capabilities now have official independent interfaces; previously, developers building voice-enabled assistants typically needed to integrate third-party services. Currently, the V4.1-Flash model supports these extended functions across Messages, Responses, and Chat Completions interfaces.
In terms of pricing, DeepSeek has adopted an aggressive strategy to drive adoption. Voice recognition is discounted by 50% to 0.39 yuan per hour (from 0.78 yuan), and speech synthesis is also halved to 1.5 yuan per 10,000 characters (from 3 yuan). For comparison, OpenAI's GPT-Transcribe costs approximately 1.81 RMB per hour of audio, while Google Cloud's standard speech service reaches 6.43 RMB. Web search and fetching remain at 5 yuan per 1,000 successful calls, and Optical Character Recognition (OCR) is priced at 1.5 yuan per 1,000 pages.
DeepSeek has also open-sourced a lightweight chat frontend Demo that supports importing historical conversations, aiming to help developers quickly build products with functionality close to the DeepSeek App. The company stated that developers can even "replicate the complete DeepSeek App 1:1." This move indicates DeepSeek's attempt to attract developers to build next-generation AI applications on its platform by lowering basic tool invocation costs and providing a complete technology stack, rather than relying solely on its own consumer-facing chat product.