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deepgram-java-text-intelligence

Use when writing or reviewing Java code in this repo that calls Deepgram Text Intelligence / Read (`/v1/read`) for text analysis. Covers `client.read().v1().text().analyze(...)` with `ReadV1Request` or `TextAnalyzeRequest`. Use `deepgram-java-audio-intelligence` when the source is audio instead of text. Triggers include "read api", "text intelligence", "analyze text", "sentiment", "topics", "intents", and "summarize text".

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deepgram-java-text-intelligence
description
Use when writing or reviewing Java code in this repo that calls Deepgram Text Intelligence / Read (`/v1/read`) for text analysis. Covers `client.read().v1().text().analyze(...)` with `ReadV1Request` or `TextAnalyzeRequest`. Use `deepgram-java-audio-intelligence` when the source is audio instead of text. Triggers include "read api", "text intelligence", "analyze text", "sentiment", "topics", "intents", and "summarize text".
# Using Deepgram Text Intelligence (Java SDK) Analyze text you already have — transcripts, chats, documents, or other plain text — via `/v1/read`. ## When to use this product - You already have **text**, not audio. - You want one-shot REST analysis for sentiment, topics, intents, or summary-like outputs. **Use a different skill when:** - The source is audio and you want analysis during transcription → `deepgram-java-audio-intelligence`. ## Authentication ```java import com.deepgram.DeepgramClient; DeepgramClient client = DeepgramClient.builder() .apiKey(System.getenv("DEEPGRAM_API_KEY")) .build(); ``` ## Quick start ```java import com.deepgram.resources.read.v1.text.requests.TextAnalyzeRequest; import com.deepgram.types.ReadV1Request; import com.deepgram.types.ReadV1RequestText; import com.deepgram.types.ReadV1Response; ReadV1RequestText textBody = ReadV1RequestText.builder() .text("Life moves pretty fast. If you don't stop and look around once in a while, you could miss it.") .build(); TextAnalyzeRequest request = TextAnalyzeRequest.builder() .body(ReadV1Request.of(textBody)) .sentiment(true) .topics(true) .intents(true) .language("en") .build(); ReadV1Response response = client.read().v1().text().analyze(request); response.getResults().getTopics().ifPresent(System.out::println); response.getResults().getIntents().ifPresent(System.out::println); response.getResults().getSentiments().ifPresent(System.out::println); ``` ## Quick start — custom topics and intents ```java import com.deepgram.resources.read.v1.text.types.TextAnalyzeRequestCustomIntentMode; import com.deepgram.resources.read.v1.text.types.TextAnalyzeRequestCustomTopicMode; import java.util.Arrays; TextAnalyzeRequest request = TextAnalyzeRequest.builder() .body(ReadV1Request.of(textBody)) .language("en") .sentiment(true) .topics(true) .intents(true) .customTopic(Arrays.asList("Customer Retention", "Product Quality")) .customTopicMode(TextAnalyzeRequestCustomTopicMode.EXTENDED) .customIntent(Arrays.asList("Request Refund", "Complaint")) .customIntentMode(TextAnalyzeRequestCustomIntentMode.EXTENDED) .build(); ``` ## Async equivalent ```java import com.deepgram.AsyncDeepgramClient; import java.util.concurrent.CompletableFuture; AsyncDeepgramClient asyncClient = AsyncDeepgramClient.builder() .apiKey(System.getenv("DEEPGRAM_API_KEY")) .build(); CompletableFuture<com.deepgram.types.ReadV1Response> future = asyncClient.read().v1().text().analyze(request); ``` ## Key parameters / API surface - `TextAnalyzeRequest.builder().body(ReadV1Request.of(...))` is the high-level request path - Body types are `ReadV1RequestText` or URL-based `ReadV1Request` variants - Verified request fields: `language`, `sentiment`, `summarize`, `topics`, `intents`, `customTopic`, `customTopicMode`, `customIntent`, `customIntentMode`, `callback`, `callbackMethod`, `tag` - Methods: `text().analyze(ReadV1Request)`, `text().analyze(TextAnalyzeRequest)`, plus async and `withRawResponse()` variants - Results live under `ReadV1Response.getResults()` ## API reference (layered) 1. **In-repo source of truth**: `src/main/java/com/deepgram/resources/read/v1/text/` and `examples/read/`. No `reference.md` file is present here. 2. **Canonical OpenAPI**: https://developers.deepgram.com/openapi.yaml 3. **Context7**: `/llmstxt/developers_deepgram_llms_txt` 4. **Product docs**: - https://developers.deepgram.com/reference/text-intelligence/analyze-text - https://developers.deepgram.com/docs/text-intelligence - https://developers.deepgram.com/docs/text-sentiment-analysis ## Gotchas 1. **Use `body(ReadV1Request.of(...))`, not raw maps.** This SDK is strongly typed. 2. **`TextAnalyzeRequest` wraps both query-style options and the request body.** `ReadV1Request` alone only supplies the input content. 3. **Custom topics/intents need matching modes** (`STRICT` or `EXTENDED`) if you want deterministic behavior. 4. **The request surface exposes `summarize` separately from Listen V1.** Do not assume Listen's versioned summarize enum applies here. 5. **Language is explicit in examples.** Follow that pattern when using topics, intents, or sentiment. 6. **This repo has no dedicated async example for Read.** Use `AsyncDeepgramClient` and `CompletableFuture` directly. ## Example files in this repo - `examples/read/AnalyzeText.java` - `examples/read/AdvancedAnalysis.java` ## Central product skills For cross-language Deepgram product knowledge — the consolidated API reference, documentation finder, focused runnable recipes, third-party integration examples, and MCP setup — install the central skills: ```bash npx skills add deepgram/skills ``` This SDK ships language-idiomatic code skills; `deepgram/skills` ships cross-language product knowledge (see `api`, `docs`, `recipes`, `examples`, `starters`, `setup-mcp`).
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