Missing 1st letter after OCR

The parsing returns

"ParsedText": "ploading\r\nimage\r\n",

Its missing the starting “U”

For this data URL which says “Uploading image”:

data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAH8AAAB/CAYAAADGvR0TAAAZgUlEQVR4Xu1dC3hdVZVea59z7236ok2tfdAO1BaFCuITVHzVJ74dlKKCxTaPm5s+BIZSZdAGBEdEAUOTnHNv2gxlEGxFrMNLQYp2AMcBHwMKtBWRPtIXTUuTtLnnnL3m+/Ptm+80fSXprcmdc/J9fB+Qe8/Ze/17rb32v9f6wxT/RNYCHNmZxxOnGPwIL4IY/Bj8CFsgwlOPPT8GP8IWiPDUY8+PwY+wBSI89djzY/AjbIEITz32/Bj8CFsgwlOPPT8GP8IWiPDUY8+PwY+wBSI89djzY/AjbIEITz32/Bj8CFsgwlOPPT8GP8IWiPDUY8+PwY+wBSI89djzY/AjbIEITz32/Bj8CFsgwlOPPT8GP8IWiPDUY8+PwY+wBSI89djzY/AjbIEITz32/Bj8CFsgwlOPPT8GP8IWiPDUY8+PwY+wBSI89djzY/AjbIEITz32/Bj8CFsgwlOPPT8GP8IWiPDUY8+PwY+wBSI89djzY/AjbIEITz32/Bj8CFsgwlPv9nzXdRPM/Cki+icR2WhZ1pOVlZW7D2eX5ubmt4jIW7XWI7TWP89kMi8dr/0cx3mXZVlniYh4nvfQ/PnzNx3vM0/U97PZ7OuZ+Z0iMlZr/fC2bdvW19XV+Xhfc3Pz+b7vn0ZEO0RkbSaT2XGixlGM5xbAH05EOSJ6HxE9YFnWTZWVlRsP9wLXdSuJqJqIXktEc9Pp9NrjHYjjOFcy81cAvlKqtrq6+onjfeaJ+n5zc/OngyC4koheJyJXplKpNXPnzj1gnGgZEX2Cmf9XRL6ZTqefOVHjKMZzu8FfuXLliP379/+UiD7KzPeIyDXpdPr5I4B/GRH9CxFNZObPVFdXP3i8A3Fd9zoiqiEi0Vp/KZPJPHq8zzxR33cc5yJmvpaI3iAi88rLy++ePXv2frwvm83+SEQ+LyJPa60X1tbWPn2ixlGM58bg99OKRwPfdd2zmHlCEASvep73/KJFi17t5+P/oR+Pwe+nuY8Gfj8fNegfLyr4uVxumu/7YyzL6hCRzbZtW0EQnE5Er9Fa79y7d+8LS5Ys2dd71n0N+0hMlVIzgiA4RSlla61f0Vo/X1tbuwdbxpGsiW1t3759pyWTyclBEJBSaqeIrE+n0/DMI36vvr5+SjKZfINSCsnt35l5g4h8+khhv6Wl5VTP88YQUSfmn06nOzGm5cuXj/J9/2TLsspEZOtJJ520a+fOnZMty3o9EaWY+cVkMvlSIXc43DwaGxvH2rZ9hogg19rV2dn5rIh0jRw5cirG53neDqXUjnQ67fV1VRUVfMdxvsvMHyCiZ5RS67TW7yWitxBRGREdYOZnlVINQRD8ITzIvoDvuu65IjKHmfG80USkiKiLmTeLyF1BEDxYW1vbFp6467rDARYRXcDMryMiJLb4QYL2sojcycwPp9PpveHvrVq1Krl79+4vKqUuFJFTiChBRO3M/JiIYKHNIaLX997zXde9gZk/KCLP+b5/0/z5858zucA7iOhyEcFJwRURLIKP4XTFzJgHHOIRrXXz4U5PjuN8SCk1V0TeSETDMG8ReZaZHxARJJhwsDu11nf254RRVPBd110lIv/MzFuIqIOZJ4oIBpsiIsv8vwe11ktramr+UjD4scBvbGx8p2VZS0Tkg8w8iuigvwSKlf53Irp+xIgR915yySU9+6zjOJ9lZmTmbzdGazeePpyZAxxriaiurKzsgTlz5nQUxmO+t4SI3kZESSLKi0jAzAAJUWMqM4/ua8KXy+U+qLW+mYjOJqKnmHmMiPyTeXbhtTuJ6LZkMpmbO3futsL/bG5uPlNrfZ1ZLFi8gVm8OF7imD2ViMqJ6Bal1M1VVVWbB8XzQ+ALvISI7jYedjIR4YgID8gT0UIiWl0Ii0cD33jhLUR0CTMPE5H7lVK/hLeICMC5kJlPFpEnlVKLqqqqejLsFStWTPV9/yIieiMycCJaT0SeiLyFmXG6mC4iayzL+teqqqpuL62vr08lk0mHmWdjwSKqENH9RNTGzG8lonnwekSeAYL/KubAzI8qpbA9vl1E8K4pRPS81royk8k8HnKMq5j5ayIymYh+ycx3aa03YQEqpSqMTeFcQwZ8EESXl5WVrZkzZ06n67oI+58jom/hiNR7oEcD36x8R0TeTUQPaa2/l0wmn1ZKeQcOHBjHzFcopcARjGLm6vb29p9cccUV3UcvA+Z427ZHjR49etfGjRvb6+rqNPZPAE5El4qIz8xfLvAVLS0tp3met5yI3oNQLCLXjR079nezZ8/ONzc3l2utr8H2Q0TjBgj+Q8z83WHDhj21Z88eP5FIvIaZF5vFPZqZKxKJxGrs/2vXrrU3bNhwJ6KpiGxSSl0lIg/CabClEdFXiOgqcA5DCfw/aa1rM5nM7wog5HK5KVrr/yCi9yMiMPPS6upqeCIYxiOe813X/SQR3Wi89+u2befC7GM2m/24iOD3ZxERAM2m0+ldxwp9juMgkiwlomkwbjqdvo+ZxXVdgP5DIoKXfxfBIJ1Ot4bmMTcIgmuQQwwEfBH5t1QqVR8O7dlsFtzA9USEvfvKIAhWIH9paWkZ43kettKPiMh9SqmvV1dX/7kwlmw2+w4RaTDePzQ8Xyn1pIhclk6nf18Y6M0331w2fPjwe5n5Y8y8Rmt9dWHfPxr42Wz2YhEBSKeJyFfy+fzqRYsWdYXCImjhLChXIrrJtu1bKyoqtuL3q1atsl555ZW3KaXOMckV9kYkb/gBlY3k8SRmvmDMmDE/nz17duA4zkeY+ftE9CYRWay1Xh5OJLPZ7BdFBCTPIQnfkUieXnv+NzzPyy1YsOCVUI7xPma+FckxmEFmdrCAW1paJubz+R8R0Swiup2Ivp1Op/8aAh/bGZjZdw3Y81taWoZ1dXX97HDA9PYg13URosDyIex9rqam5qEQEIWE7wnLsi6rrKz8Q+F32Lvb2trWENH5RPSfzPyNwio+Gvi5XG4ODCIiM0Tki8z8014nBXgLwvS7mfkWZu5OekSEXdf9qlIK359ORCNM4onsGj9IQG2zd3++vLx8DcBvamr6mFLqJkQSrfUVBw4caLn88suR4Xf/DIThC4MvIodEr6ampvOUUvWINljoyWSyad68eTuXL1+OoynCPk5QKxKJxA3z5s17MTSWmczcfFzg19XVqcmTJ/9ERD5DRE8S0dfCXhteAOY4h+QNPPxFVVVVPVRsKOErGvgmPCNXgOd/uby8/B7sv4UxrVixYqbned0GEJGb8U8mk9niui4WBRYDjl5/IyKMczOyfPPdmSKChfhaULIF8F3XBcV9k4i8KRLgmxXdxMyXiMg+eMvWrVsfRXIUBh5JBjO3wOOJ6AWlVHVVVdVve3s+jjOWZS0IZ97Lli0bl0gkfkxEH0Kmj+SvcH9wjD0f7/oOEZ1BRAts215ZUVHRQxQ1Nja+17IshEzs0ddqrRtx1nUc5wKl1PU4W2utEa3uVUq1e57XTerYtv1xZr7GcPQ94Gez2feLCE4X2BK+1dXV5SxatAjHsILnI1coLMY+cfsD9fywzZh5le/736qtrX0hFPbfLCIOEZ074LCPh5nbuqvNEQIA3xjeX+rq6uxJkyZdzMxXGy9c2XsPCnk+jPXVRx555FerV6/u9rRcLvcBrTWM+mYiarIs68bKykqczxFKr2XmjDlaza6pqflVYYK5XO5tItIoIti3fxwEwdKCARCxJk2a9HUsCiKagMWotb4L2bDjOHOUUt/E3h4EwedrampwvOph81zXxaK6gYgQAcJh/0xmzpkc4qD3ma2kzox1/AATvj6HfbNVrmbmT4I4YuZ0dXU1InP3PHK53Be01t82ieLAEj48qKmp6VRmvo2ZPwrvZ+Z1IvIYMwMgHCtAlHwUwBPR3iAILrMs62eFs7pZQIU9H/95n0lS/qq1PsWyrHki8mHsvcy80LKsOwoe7Lru5UR0BQAUkR8ajuC/kfQ0NDSMTCQSWWTkoE2JaA0z/1Jr/Soz45x/kYi8gZk34uy+devWdYhYuFsPguB7OCVgerZt3zZq1KiN2NdXrFgx3vd9MG44s+OdPeDjfbZtI7kCM4i9vgUJqud5bUqpcxHRtNZnM7N9osEHmeW6LqJeFewmIveAxbNtG0kf8pgFJh8APgMHH5lxW1vb+SKCkPZWZgZzhowUtCYmOs7Qqu1a6wbbtpuqqqrA5IW9qQA+zvkgenaLCFi1kWCimBkT+I3W+qrt27c/VdhWeoXaVmbepLW+rKamBqsckeF8ZsZRCKG4m2UzZBGSTpz1Qdfe0NXVtbwQopuaml6rlML9OkAE6/c3EekO34YlBMGDa2nMrQd8Y3DQyNgS8BkUZLSKSJ6ZX2NoZfDroI5PaNjHWJubm8/xfR8OgcgHYmuLYRrBayQN+XN84ONF5l4fLwFrhoUA6hAZMX7wYpArP87n8w/u2rVrS6GCpfeez8x/EJFfgygxXDwYKNCn4MaXDR8+fF2YTjUXH3PBAjIz7slBDc+urq5+pDCuAwcOvE9ELjU5AxYiqGkA8gw4eiK6p7W1dXNhQWFLmDhx4rnMDK9BYjehsFBF5EWl1AatNRY5KOgw+GT22i/B48CbiwgoXtxN/AJkCxGh6unUfwT4OIl5nvdxIqo1RBeARi4GLO7XWn+BiM4koh9gW0WyG87TjvbvhxRw1tXVJadMmTKJmSd7noeVjnMwLlDaRGQ76NrW1tZ9vZPBXmH/CfD3SimE5lO01uD3cenyMjO/FN4qCoOrr68fP2zYsFO11uOZmbXW/xO+pDDHUUSPKbjZwq1eEAR7mXmbbdsvbt68ec9hEtREIpGY6nneZBMhxmitwf7Be9q01uNw06a1/mMmk0FU6Ilit99++7jOzs7pSqlTRAQ8/m5mfiGVSnUGQXByEAS46fvzuHHjtmErMfM/7H0+mEHf97E1jdJar1dKbQkfV0Hm+L5/utZ6dCKR2Pjyyy9jEfecaOCU+Xx+mtYaTB4YQdDCL+LzYAuxJTPzdcOGDWuYM2dOn0vHjlq9i62go6MjMWLECH3hhRd64YTpcCvqcEc9XMN2dXWpdevW+YXk72irER6L0Lp06VJcpBxy3Yqka/Xq1YmOjg41YsQIr2D4Y612JKwzZ84EwRP0ZS7meVxfX58cM2aMvX///nw6ncZlyhGvgI81hoH+3uQhuqurK8BYQAsvXLgw77ouEnBs0zOIKOP7/p3z58/HNtunn6KWbh/tnN+n0cQfOsQC5j4BSSb4iLs8z3vqrLPOCjZs2HAOyu2Q8CH6iUjVtm3b1h4uIh/JrDH4Q3zBZbPZz4hInbm8AVmFOgQb27LxeCR930ulUg3h+4K+TCsGvy9WGsTPNDQ0TLVt+6vMDJoal1A4RXVvjSaHWqm1XlleXv5iX7fAwnSKCj54b6UUSBNkxPeHb8MG0X6l/mpuaGiYYNv2DK31GcyMZBwLAKF+o+/7z40fP35nf4GHUYoKvuu6JymlhoEjmD59+quzZs3qbmaIf47fAnD4xsbGEWVlZWXt7e1kWdb+2traThyMBvr0ooI/0EHE3xscC8TgD47dh8RbY/CHBAyDM4gY/MGx+5B4awz+kIBhcAYRgz84dh8Sb43BHxIwDM4gShp8lHDZtv0erTVuy24PlzgNjjlL660lDb7ruhkRqUURplLq4sL9f2lBMHijLXXwoRCSNuBfGq4kHjyTls6bSxr8pqYm9ACejIqNfD7/l95duqUDw+CMtKTBHxyT/f95a0mD39jYCOEE9LyjTOy/CreIqNqZMGEC6vNQ8rTN9/31qVRqou/7aN0aGwTBdqXUb1tbW7ej+MGUgKP16WylFHrn/+553tMLFizoLkQ9HNyoAM7n829GmRo6gUQEPf7PdHZ2rg83ioa/a0q/UXXzdqUUijN2Wpb1uGVZez3Pm6m1HnMkoQaMcerUqWgifSOkX5h5v9b62X379j23ePHinvby/izNkgbfcRwUfc4FyCJSU1NT8xtM3nSwotny3SLyK2ZG7x4aMLuVMERkPzOjDv7WRCLxJ8/zviwiKIREz3y3jgAR/T4Igh/u2LHjT+FCVVNL+AVmRnPlDGZGZTLu1lHtjDpFdAahWRRtVT0Lx1RHo138ElP+jtvPA7iWFZEH0FmE8aEpJgiCleH6Rdd1Mb8KpRSKaicZsQvUDeJ96HFwe7+vL4ugpMEv1PujBFsp1aMMZmre7jF9Bug7wDzHmkIItIujlg/NnvdBnoWZP2EqZfA5/L6wAO5MJBI3hvvjstks+gBu0FqjrQuf32r6HAAKqooBSDMUSMJCCc3Nzef5vn8dM59nRBlQMIrIMtaUlqO6GAWZ3w+C4NZCFS70AlKpFBpTsNDRw4/ehe0oBkVRKiIOmkx6vy8GnwgNKOi/X4OGB2wBpvoXwgxoQkG9P6p5H1JK3QeNH1M6jt+jHHoXM1/68MMPP1IoPkXNghFhhOTMBsuyUFDRpZRCB88i04IOfZx5W7ZseaxQU+e6LvoOcDIpFxG0qv+EmVFpiwrp+aYWr6w3+Nls9sNo6zZNnI9ZltVCRBtRPczMaDpBCzsEH2qMxEz/NHn6skqG4mf64vkigt62xalU6mEIHqxataqsra3tYiKCN6HrBXX/V+Xz+bVo/a6vrx+dSqUAEtRDUCb+tZEjR94elnuBN1qWNbazs3Pf4sWL4YkCIYX169dDYQPt5Gj2SO/bt+9u7Mdmq4AmwafQdgXxxnHjxq1Fwymqm0XkS6ZJ5LTe4BcWjWlMWSwiP0fpu2muRSvbbYXS7SAInH5r8gxFYPsypr6AD9GiIAiWZDKZZwvPhF5eqKf/oKZRfMZxnHC//PWWZS2rqqpCz8JRfxzHQRuXaxonl1iW1QwhCZMcAnxoCqEbGuqcPSKXjuOg7r4RIgth8JEgZrNZyMJcAJUQIloSVvU0vXzoUEa+gva4nubXY40Vv4/Cno+9/yBFUdd1IcxwBzNDbrYlkUhcH97Xc7kchBmgmnVYwYfdu3efx8zoO5xuxJW6u5pMOxpyAsixod0LidiuXqokK4IguKG2tranzz68GMPgm/0eghZI9F5i5j+adrUebE0DKyLYk2hxy2QyPZoIx1oAkQQf+nqpVKpbIoaZl/u+/50wGE1NTWcqpbJG9OCgNijXdSHPhv0VMjBQBkMrV0HwIWzvHvAhDOV53h0mH0Ay+J2qqiqUYXf/HAn8Xokr6iEPaRoREWgTWug6sm27prKyskcKJwaf6BDPHyj4EHJSSkGpCyIWaPlCY+qzWmu0s4llWZO01mgXhzDEYT1fRJZrrQ9abEcCH7lCPp+/1/QaQuIGx9YeOZde4IIzeKggSXMs4CMb9gcKfq9cAe3f2dbW1i2TJk3q7tWDOiiEFMEvhMHHOd3I0nULU9i2/c2KiooekYWGhoZ32LbdLawUDvuGfFpFRJ8losfRQe37fo8gUxjgRCLht7a2dvRunj3aIojDfj/Cfi+hiJ6ErmDghoaGM2zbPgR8JGZ79uy526iBItynW1tbf104BjY2NlZalgXRi2m9s33HcdCfX22aV69WSt1dUAwFkzl58uTzPM/bMnPmzJf6Wyofg98P8F3XnYQzulIK6lhPMDN0Cp7s7OwEUzfOtm2oj6IlHExhT9g3Pf9oqKw1CSLC972gkc1xE3p6kJWBDu9BJI/runjXD4yiCRRDHxWRPyuloCAKLgLClpuVUjfOmDHjqf4sgBj8foBvzvL4wxALRQSybmg5h+Yfwj5oY4g2gOmDHkEYfCifIImELA10CJG44egIGhlJI1i6qSICbv8g8E3ShwUFAgn3CBCaKAhG41QBehkizBjXY/0WXu5LcjAUP3MMbn+ZiEAc4heJROKWXkc5aOLDm85h5tW+7zvhP+3iOA6kZwpKIMsty/r3wjkf18hKKXg4GiihJgrAASYEJXG3cLaITIEsXBAEdxeumY1i+Hlaa/TdfQiUNMAXEciw/lpEQN+CJ7ixq6urfuHChd1agviByggzzzKJJo6f+C7eicjxGwg02rb9u4qKCkjE9rmFvNQ9H16GfxLJZPKFuXPnduvl4RJl586duCQ5ybbt3e3t7ZvCN21GzxfJGdS7d/i+vyUs7AgWcM+ePa/zfX+UZVlbx44dCwGGHrEEtE1D8MEIV+CCRkOIAt7seR4iAlTLNp1++unbw2HYkDJTLcuaCHoWl0FBEGxVSmGxIIGEDl+PCGPY4YxAwyTf98cbQQn067Xbtr1t5MiR28Pj66ujljT4fZ3kUPlcQ0PDxLKysmDatGlts2bNwlbR7aWu6843GrooTqno6OhYdaRr4WLOJQa/mNY8yrPwhygg6ghtIFC8QRA8nkqlVD6fx9YEbgAXTVDdrq2pqUEy2efwPdApxOAP1HL9/J7jOPijCDi2oaYAkuk7lVIkIrjKxVUtbhivtSxr5ZH+rF0/X3nMj8fgH9NExflALpeboLX+rIhAwRP6gT1/9UNEwNnfkUgkfrZp06Zt/ZFWOZ7RxeAfj/X6+V2obnV1deHvA02F6hiOiIaube3s7Hxx7969r/6jgC95erefth8yHzdStsmOjg6ZMmVKfiCqGsWYTOz5xbBiiT4jBr9EgSvGsGPwi2HFEn1GDH6JAleMYcfgF8OKJfqMGPwSBa4Yw47BL4YVS/QZMfglClwxhh2DXwwrlugzYvBLFLhiDDsGvxhWLNFnxOCXKHDFGHYMfjGsWKLPiMEvUeCKMewY/GJYsUSf8X+9RP9wUDHS0QAAAABJRU5ErkJggg==

Did you test with engin1 or engine2? Make sure to try engine2, it is usually better for Western alphabets.

Oh yes, that worked just fine!

I somehow got the impression reading the literature that Engine 2 is better for numbers and special chars.