🐦 Twitter Post Details

Viewing enriched Twitter post

@tuanacelik

We just open-sourced LiteParse πŸŽ‰ A lightweight, local document parser in the shape of an easy-to-use CLI. No API calls, no external service, no cloud dependency. Just fast text extraction from common file formats, right from your terminal. It's built for developers who want parsing that stays on their own infrastructure and gets out of their way. Clean PDFs, DOCX, HTML: run it, get your text, move on. The output is designed to be fed straight into agents so they can read parsed text and reason over screenshots without any extra wrangling. When you hit more complex territory like scanned docs, dense tables, or multi-column layouts, that's where LlamaParse picks up. Same philosophy, more horsepower for the hard stuff. πŸ“– Announcement post: https://t.co/VRJkLZYiwP πŸ”— GitHub: https://t.co/PuSo8ZMFtl 🎬 Walkthrough: https://t.co/VPG8c3GLZ8

Media 1
Media 2
Media 3

πŸ“Š Media Metadata

{
  "media": [
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2034676802619416817/media_0.jpg",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2034676802619416817/media_0.jpg",
      "type": "photo",
      "filename": "media_0.jpg"
    },
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2034676802619416817/media_1.jpg",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2034676802619416817/media_1.jpg",
      "type": "photo",
      "filename": "media_1.jpg"
    },
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2034676802619416817/media_2.jpg",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2034676802619416817/media_2.jpg",
      "type": "photo",
      "filename": "media_2.jpg"
    }
  ],
  "processed_at": "2026-03-20T05:46:44.392431",
  "pipeline_version": "2.0"
}

πŸ”§ Raw API Response

{
  "type": "tweet",
  "id": "2034676802619416817",
  "url": "https://x.com/tuanacelik/status/2034676802619416817",
  "twitterUrl": "https://twitter.com/tuanacelik/status/2034676802619416817",
  "text": "We just open-sourced LiteParse πŸŽ‰\n\nA lightweight, local document parser in the shape of an easy-to-use CLI. No API calls, no external service, no cloud dependency. Just fast text extraction from common file formats, right from your terminal.\n\nIt's built for developers who want parsing that stays on their own infrastructure and gets out of their way. Clean PDFs, DOCX, HTML: run it, get your text, move on. The output is designed to be fed straight into agents so they can read parsed text and reason over screenshots without any extra wrangling.\n\nWhen you hit more complex territory like scanned docs, dense tables, or multi-column layouts, that's where LlamaParse picks up. Same philosophy, more horsepower for the hard stuff.\n\nπŸ“– Announcement post: https://t.co/VRJkLZYiwP\nπŸ”— GitHub: https://t.co/PuSo8ZMFtl\n🎬 Walkthrough: https://t.co/VPG8c3GLZ8",
  "source": "Twitter for iPhone",
  "retweetCount": 49,
  "replyCount": 12,
  "likeCount": 462,
  "quoteCount": 2,
  "viewCount": 27550,
  "createdAt": "Thu Mar 19 17:02:06 +0000 2026",
  "lang": "en",
  "bookmarkCount": 525,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2034676802619416817",
  "displayTextRange": [
    0,
    276
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "tuanacelik",
    "url": "https://x.com/tuanacelik",
    "twitterUrl": "https://twitter.com/tuanacelik",
    "id": "209600624",
    "name": "Tuana",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/2014255463072677889/U6Oy05f3_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/209600624/1586942259",
    "description": "",
    "location": "Istanbul / Amsterdam",
    "followers": 6440,
    "following": 907,
    "status": "",
    "canDm": true,
    "canMediaTag": true,
    "createdAt": "Fri Oct 29 14:17:21 +0000 2010",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 4535,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 277,
    "statusesCount": 1674,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [],
    "profile_bio": {
      "description": "DevRel & AI Engineering at @llama_index from Istanbul β˜€οΈ in Amsterdam 🚲\nPosts about AI/ML and occasionally other random tidbits.",
      "entities": {
        "description": {
          "hashtags": [],
          "symbols": [],
          "urls": [],
          "user_mentions": [
            {
              "id_str": "0",
              "indices": [
                27,
                39
              ],
              "name": "",
              "screen_name": "llama_index"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "tuana.dev",
              "expanded_url": "http://tuana.dev",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/Q6mCyyf4Ea"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "display_url": "pic.twitter.com/eqw9EFIG5y",
        "expanded_url": "https://twitter.com/tuanacelik/status/2034676802619416817/photo/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "features": {
          "large": {
            "faces": []
          },
          "orig": {
            "faces": []
          }
        },
        "id_str": "2034676798022459393",
        "indices": [
          277,
          300
        ],
        "media_key": "3_2034676798022459393",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARw8n8SC26ABCgACHDyfxZTboPEAAA==",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAABCgABHDyfxILboAEKAAIcPJ/FlNug8QAA",
            "media_key": "3_2034676798022459393"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/HDyfxILboAEA8AC.jpg",
        "original_info": {
          "focus_rects": [
            {
              "h": 1789,
              "w": 3194,
              "x": 0,
              "y": 0
            },
            {
              "h": 1797,
              "w": 1797,
              "x": 1098,
              "y": 0
            },
            {
              "h": 1797,
              "w": 1576,
              "x": 1208,
              "y": 0
            },
            {
              "h": 1797,
              "w": 899,
              "x": 1547,
              "y": 0
            },
            {
              "h": 1797,
              "w": 3194,
              "x": 0,
              "y": 0
            }
          ],
          "height": 1797,
          "width": 3194
        },
        "sizes": {
          "large": {
            "h": 1152,
            "w": 2048
          }
        },
        "type": "photo",
        "url": "https://t.co/eqw9EFIG5y"
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "urls": [
      {
        "display_url": "llamaindex.ai/blog/liteparse…",
        "expanded_url": "https://www.llamaindex.ai/blog/liteparse-local-document-parsing-for-ai-agents?utm_medium=tc_socials&utm_source=twitter&utm_campaign=2026-mar-liteparse-launch",
        "indices": [
          751,
          774
        ],
        "url": "https://t.co/VRJkLZYiwP"
      },
      {
        "display_url": "github.com/run-llama/lite…",
        "expanded_url": "https://github.com/run-llama/liteparse",
        "indices": [
          785,
          808
        ],
        "url": "https://t.co/PuSo8ZMFtl"
      },
      {
        "display_url": "youtu.be/_gcqMGUWN-E",
        "expanded_url": "https://youtu.be/_gcqMGUWN-E",
        "indices": [
          824,
          847
        ],
        "url": "https://t.co/VPG8c3GLZ8"
      }
    ],
    "user_mentions": []
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "article": null
}