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<title data-rh="true">Structured Output | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/structured-output"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Structured Output | Langflow Documentation"><meta data-rh="true" name="description" content="The Structured Output component uses an LLM to transform any input into structured data (Data or DataFrame) using natural language formatting instructions and an output schema definition."><meta data-rh="true" property="og:description" content="The Structured Output component uses an LLM to transform any input into structured data (Data or DataFrame) using natural language formatting instructions and an output schema definition."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/structured-output"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/structured-output" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/structured-output" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Structured Output","item":"https://docs.langflow.org/structured-output"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
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<p>The <strong>Structured Output</strong> component uses an LLM to transform any input into structured data (<code>Data</code> or <code>DataFrame</code>) using natural language formatting instructions and an output schema definition.
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For example, you can extract specific details from documents, like email messages or scientific papers.</p>
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<h2 class="anchor anchorTargetHideOnScrollNavbar_vjPI" id="use-the-structured-output-component-in-a-flow">Use the Structured Output component in a flow<a href="#use-the-structured-output-component-in-a-flow" class="hash-link" aria-label="Direct link to Use the Structured Output component in a flow" title="Direct link to Use the Structured Output component in a flow" translate="no"></a></h2>
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<p>To use the <strong>Structured Output</strong> component in a flow, do the following:</p>
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<ol>
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<li class="">
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<p>Provide an <strong>Input Message</strong>, which is the source material from which you want to extract structured data.
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This can come from practically any component, but it is typically a <strong>Chat Input</strong>, <strong>Read File</strong>, or other component that provides some unstructured or semi-structured input.</p>
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<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>Not all source material has to become structured output.
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The power of the <strong>Structured Output</strong> component is that you can specify the information you want to extract, even if that data isn't explicitly labeled or an exact keyword match.
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Then, the LLM can use your instructions to analyze the source material, extract the relevant data, and format it according to your specifications.
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Any irrelevant source material isn't included in the structured output.</p></div></div>
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</li>
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<li class="">
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<p>Define <strong>Format Instructions</strong> and an <strong>Output Schema</strong> to specify the data to extract from the source material and how to structure it in the final <code>Data</code> or <code>DataFrame</code> output.</p>
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<p>The instructions are a prompt that tell the LLM what data to extract, how to format it, how to handle exceptions, and any other instructions relevant to preparing the structured data.</p>
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<p>The schema is a table that defines the fields (keys) and data types to organize the data extracted by the LLM into a structured <code>Data</code> or <code>DataFrame</code> object.
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For more information, see <a href="#output-schema-options" class="">Output Schema options</a></p>
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</li>
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<li class="">
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<p>Attach a <a class="" href="/components-models">language model component</a> that is set to emit <a class="" href="/data-types#languagemodel"><code>LanguageModel</code></a> output.</p>
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<p>The LLM uses the <strong>Input Message</strong> and <strong>Format Instructions</strong> from the <strong>Structured Output</strong> component to extract specific pieces of data from the input text.
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The output schema is applied to the model's response to produce the final <code>Data</code> or <code>DataFrame</code> structured object.</p>
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||
</li>
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<li class="">
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<p>Optional: Typically, the structured output is passed to downstream components that use the extracted data for other processes, such as the <strong>Parser</strong> or <strong>Data Operations</strong> components.</p>
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</li>
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</ol>
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<p><img decoding="async" loading="lazy" alt="A basic flow with Structured Output, Language Model, Type Convert, and Chat Input and Output components." src="/assets/images/component-structured-output-23458b0d29eed6d092b557c7aaf6ab2c.png" width="4000" height="1724" class="img_ev3q"></p>
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<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Structured Output example: Financial Report Parser template</summary><div><div class="collapsibleContent_i85q"><p>The <strong>Financial Report Parser</strong> template provides an example of how the <strong>Structured Output</strong> component can be used to extract structured data from unstructured text.</p><p>The template's <strong>Structured Output</strong> component has the following configuration:</p><ul>
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<li class="">
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<p>The <strong>Input Message</strong> comes from a <strong>Chat Input</strong> component that is preloaded with quotes from sample financial reports</p>
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</li>
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<li class="">
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<p>The <strong>Format Instructions</strong> are as follows:</p>
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<div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>You are an AI that extracts structured JSON objects from unstructured text.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Use a predefined schema with expected types (str, int, float, bool, dict).</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Extract ALL relevant instances that match the schema - if multiple patterns exist, capture them all.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Fill missing or ambiguous values with defaults: null for missing values.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Remove exact duplicates but keep variations that have different field values.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Always return valid JSON in the expected format, never throw errors.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>If multiple objects can be extracted, return them all in the structured format.</span></div></div><br></code></div></div>
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</li>
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||
<li class="">
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||
<p>The <strong>Output Schema</strong> includes keys for <code>EBITDA</code>, <code>NET_INCOME</code>, and <code>GROSS_PROFIT</code>.</p>
|
||
</li>
|
||
</ul><p>The structured <code>Data</code> object is passed to a <strong>Parser</strong> component that produces a text string by mapping the schema keys to variables in the parsing template:</p><div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>EBITDA: {EBITDA} , Net Income: {NET_INCOME} , GROSS_PROFIT: {GROSS_PROFIT}</span></div></div><br></code></div></div><p>When printed to the <strong>Playground</strong>, the resulting <code>Message</code> replaces the variables with the actual values extracted by the <strong>Structured Output</strong> component. For example:</p><div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>EBITDA: 900 million , Net Income: 500 million , GROSS_PROFIT: 1.2 billion</span></div></div><br></code></div></div></div></div></details>
|
||
<h2 class="anchor anchorTargetHideOnScrollNavbar_vjPI" id="structured-output-parameters">Structured Output parameters<a href="#structured-output-parameters" class="hash-link" aria-label="Direct link to Structured Output parameters" title="Direct link to Structured Output parameters" translate="no"></a></h2>
|
||
<p>Some parameters are hidden by default in the visual editor.
|
||
You can modify all component parameters through the <a class="" href="/concepts-components#component-inspection-panel">component inspection panel</a> that appears when you select a component.</p>
|
||
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>Language Model (<code>llm</code>)</td><td><code>LanguageModel</code></td><td>Input parameter. The <a class="" href="/data-types#languagemodel"><code>LanguageModel</code></a> output from a <strong>Language Model</strong> component that defines the LLM to use to analyze, extract, and prepare the structured output.</td></tr><tr><td>Input Message (<code>input_value</code>)</td><td>String</td><td>Input parameter. The input message containing source material for extraction.</td></tr><tr><td>Format Instructions (<code>system_prompt</code>)</td><td>String</td><td>Input parameter. The instructions to the language model for extracting and formatting the output.</td></tr><tr><td>Schema Name (<code>schema_name</code>)</td><td>String</td><td>Input parameter. An optional title for the <strong>Output Schema</strong>.</td></tr><tr><td>Output Schema (<code>output_schema</code>)</td><td>Table</td><td>Input parameter. A table describing the schema of the desired structured output, ultimately determining the content of the <code>Data</code> or <code>DataFrame</code> output. See <a href="#output-schema-options" class="">Output Schema options</a>.</td></tr><tr><td>Structured Output (<code>structured_output</code>)</td><td><code>Data</code> or <code>DataFrame</code></td><td>Output parameter. The final structured output produced by the component. Near the component's output port, you can select the output data type as either <strong>Structured Output Data</strong> or <strong>Structured Output DataFrame</strong>. The specific content and structure of the output depends on the input parameters.</td></tr></tbody></table>
|
||
<h4 class="anchor anchorTargetHideOnScrollNavbar_vjPI" id="output-schema-options">Output Schema options<a href="#output-schema-options" class="hash-link" aria-label="Direct link to Output Schema options" title="Direct link to Output Schema options" translate="no"></a></h4>
|
||
<p>After the LLM extracts the relevant data from the <strong>Input Message</strong> and <strong>Format Instructions</strong>, the data is organized according to the <strong>Output Schema</strong>.</p>
|
||
<p>The schema is a table that defines the fields (keys) and data types for the final <code>Data</code> or <code>DataFrame</code> output from the <strong>Structured Output</strong> component.</p>
|
||
<p>The default schema is a single <code>field</code> string.</p>
|
||
<p>To add a key to the schema, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> <strong>Add a new row</strong>, and then edit each column to define the schema:</p>
|
||
<ul>
|
||
<li class="">
|
||
<p><strong>Name</strong>: The name of the output field. Typically a specific key for which you want to extract a value.</p>
|
||
<p>You can reference these keys as variables in downstream components, such as a <strong>Parser</strong> component's template.
|
||
For example, the schema key <code>NET_INCOME</code> could be referenced by the variable <code>{NET_INCOME}</code>.</p>
|
||
</li>
|
||
<li class="">
|
||
<p><strong>Description</strong>: An optional metadata description of the field's contents and purpose.</p>
|
||
</li>
|
||
<li class="">
|
||
<p><strong>Type</strong>: The data type of the value stored in the field.
|
||
Supported types are <code>str</code> (default), <code>int</code>, <code>float</code>, <code>bool</code>, and <code>dict</code>.</p>
|
||
</li>
|
||
<li class="">
|
||
<p><strong>As List</strong>: Enable this setting if you want the field to contain a list of values rather than a single value.</p>
|
||
</li>
|
||
</ul>
|
||
<p>For simple schemas, you might only extract a few <code>string</code> or <code>int</code> fields.
|
||
For more complex schemas with lists and dictionaries, it might help to refer to the <code>Data</code> and <code>DataFrame</code> structures and attributes, as described in <a class="" href="/data-types">Langflow data types</a>.
|
||
You can also emit a rough <code>Data</code> or <code>DataFrame</code>, and then use downstream components for further refinement, such as a <strong>Data Operations</strong> component.</p></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/smart-transform"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Smart Transform</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/components-models"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Language Model</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#use-the-structured-output-component-in-a-flow" class="table-of-contents__link toc-highlight">Use the Structured Output component in a flow</a></li><li><a href="#structured-output-parameters" class="table-of-contents__link toc-highlight">Structured Output parameters</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
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