DeepSeek App is a conversational artificial-intelligence client. A user writes a question or instruction, and the service generates a text response that follows the conversation. DeepSeek App can search the web, spend additional computation on a reasoning mode, extract text from an uploaded file, and synchronize chats after sign-in. It does not run the model entirely on the phone, and it is not a factual database that guarantees every answer.
Choose the chat mode
An ordinary chat works from the prompt and the conversation context. Web search adds current pages to the response process. Deep-Think asks the service to work through a more involved reasoning path before answering. These controls change how a request is handled, so two modes can return different wording, evidence, and response times for the same question.
Web search is useful for recent facts, but a linked page does not automatically prove every sentence beside it. The answer can combine retrieved material with generated text. Opening the relevant result and checking names, dates, and numbers remains necessary for medical, legal, financial, or security decisions. The service’s own policy warns that a likely sequence of words can still be factually wrong.
Files become input
DeepSeek App accepts file uploads and extracts text for the conversation. A user can ask for a summary, explanation, comparison, or a response based on that extracted material. The chat is not the same as opening the original file in its native editor. Layout, formulas, tracked changes, images, hidden sheets, or scanned pages may not survive text extraction in a form the model can reason about correctly.
A good check is to ask DeepSeek App which sections it received before relying on the result. Very long material may exceed the context used for one answer, and a later prompt may emphasize a different portion. Private contracts, identity documents, unpublished work, credentials, and customer records should not be uploaded merely because the file button is convenient.
History follows the account
Signing in with email, a Google account, or an Apple ID allows chat history to synchronize across supported clients. That makes a conversation available beyond the device where it began. It also means the chat is account data rather than a notebook stored only on the phone.
The privacy controls allow users to manage or delete chat history and, where available, opt out of using personal data for model training. The service processes prompts, uploaded files, feedback, chat history, device identifiers, network information, and diagnostic data. Anyone using DeepSeek App for confidential work should review those controls before the first sensitive prompt, not after a complete project has accumulated in history.
Prompts need boundaries
Clear instructions improve the chance of a useful answer. Supplying the desired audience, output form, constraints, and source text gives the model less room to guess. Asking it to separate known facts from assumptions makes later verification easier. A follow-up can correct a misunderstanding, but the correction does not turn earlier output into a verified record.
DeepSeek App can remember details within the active conversation, which is convenient until an old assumption contaminates a new task. Starting a fresh chat removes that conversational context. This is useful when changing subjects, testing an answer independently, or preventing a previous formatting request from shaping unrelated work.
Deletion is final
Deleting one chat and deleting the account are different actions. Account deletion removes the chat account and its history permanently through the normal service flow. It is not a temporary sign-out, and the account cannot simply be reopened with its previous content.
Important output should therefore be copied into an appropriate document system before deletion. That copy still needs human checking because generated text can contain invented references, subtle calculation errors, or confident claims unsupported by the uploaded material. DeepSeek App can accelerate reading and drafting, but the user remains responsible for deciding which statements are safe to keep.
