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Output Parsers
==============

Output parsers are responsible for taking the output of an LLM and transforming it to a more suitable format. This is very useful when you are asking the LLM to generate any form of structured data.

Besides having a large collection of different types of output parsers, one distinguishing benefit of LangChain OutputParsers is that many of them support streaming.

[Quick Start](/v0.1/docs/modules/model_io/output_parsers/quick_start/)[​](#quick-start "Direct link to quick-start")
--------------------------------------------------------------------------------------------------------------------

See [this quick-start guide](/v0.1/docs/modules/model_io/output_parsers/quick_start/) for an introduction to output parsers and how to work with them.

[Output Parser Types](/v0.1/docs/modules/model_io/output_parsers/types/)[​](#output-parser-types "Direct link to output-parser-types")
--------------------------------------------------------------------------------------------------------------------------------------

LangChain has lots of different types of output parsers. See [this table](/v0.1/docs/modules/model_io/output_parsers/types/) for a breakdown of what types exist and when to use them.

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